STITCHING Module API Reference

Complete documentation for the STITCHING classes, methods, and enums in OpenCV5Sharp. Equivalent to the Official OpenCV Stitching Documentation.

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📦 Classes and Structs

PyRotationWarper

Inherits from: DisposableOpenCVObject

Rotation-based image warper that supports different projection types (e.g., spherical, cylindrical). Wraps OpenCV's cv::PyRotationWarper.

Constructors

• new PyRotationWarper(string type, float scale)
  • Summary: Creates a rotation warper with the specified projection type and scale.
  • Parameter type: Warper projection type name (e.g., "spherical", "cylindrical", "plane").
  • Parameter scale: Projected image scale (focal length of the camera).
• new PyRotationWarper()
  • Summary: Creates a default rotation warper with no projection type or scale set.

Methods

• Point2F WarpPoint(Point2F pt, Mat K, Mat R)
  • Summary: Projects the image point.
  • Parameter pt: Source point
  • Parameter K: Camera intrinsic parameters
  • Parameter R: Camera rotation matrix
  • Returns: Projected point
• Point2F WarpPointBackward(Point2F pt, Mat K, Mat R)
  • Summary: Projects the image point backward.
  • Parameter pt: Projected point
  • Parameter K: Camera intrinsic parameters
  • Parameter R: Camera rotation matrix
  • Returns: Backward-projected point
• Rect BuildMaps(Size src_size, Mat K, Mat R, Mat xmap, Mat ymap)
  • Summary: Builds the projection maps according to the given camera data.
  • Parameter src_size: Source image size
  • Parameter K: Camera intrinsic parameters
  • Parameter R: Camera rotation matrix
  • Parameter xmap: Projection map for the x axis
  • Parameter ymap: Projection map for the y axis
  • Returns: Projected image minimum bounding box
• Point Warp(Mat src, Mat K, Mat R, int interp_mode, int border_mode, Mat dst)
  • Summary: Projects the image.
  • Parameter src: Source image
  • Parameter K: Camera intrinsic parameters
  • Parameter R: Camera rotation matrix
  • Parameter interp_mode: Interpolation mode
  • Parameter border_mode: Border extrapolation mode
  • Parameter dst: Projected image
  • Returns: Project image top-left corner
• void WarpBackward(Mat src, Mat K, Mat R, int interp_mode, int border_mode, Size dst_size, Mat dst)
  • Summary: Projects the image backward.
  • Parameter src: Projected image
  • Parameter K: Camera intrinsic parameters
  • Parameter R: Camera rotation matrix
  • Parameter interp_mode: Interpolation mode
  • Parameter border_mode: Border extrapolation mode
  • Parameter dst_size: Backward-projected image size
  • Parameter dst: Backward-projected image
• Rect WarpRoi(Size src_size, Mat K, Mat R)
  • Summary: Calculates the minimum bounding box of the warped (projected) image region of interest.
  • Parameter src_size: Source image bounding box
  • Parameter K: Camera intrinsic parameters
  • Parameter R: Camera rotation matrix
  • Returns: Projected image minimum bounding box
• float GetScale()
  • Summary: Returns the current projected image scale (focal length).
  • Returns: The current scale value.
• void SetScale(float arg1)
  • Summary: Sets the projected image scale (focal length).
  • Parameter arg1: The new scale value to set.

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Stitcher

Inherits from: DisposableOpenCVObject

High level image stitcher.

Detailed Remarks: It's possible to use this class without being aware of the entire stitching pipeline. However, to be able to achieve higher stitching stability and quality of the final images at least being familiar with the theory is recommended. .: info Note

• A basic example on image stitching can be found at

• A detailed example on image stitching can be found at .:

Methods

• Stitcher? Create(FileStorageMode mode)
  • Summary: Creates a Stitcher configured in one of the stitching modes.
  • Parameter mode: Scenario for stitcher operation. This is usually determined by source of images to stitch and their transformation. Default parameters will be chosen for operation in given scenario.
  • Returns: Stitcher class instance.
• double RegistrationResol()
  • Summary: Returns the registration resolution in megapixels.
  • Returns: The registration resolution in megapixels.
• void SetRegistrationResol(double resol_mpx)
  • Summary: Sets the registration resolution in megapixels.
  • Parameter resol_mpx: Resolution in megapixels for the registration step.
• double SeamEstimationResol()
  • Summary: Returns the seam estimation resolution in megapixels.
  • Returns: The seam estimation resolution in megapixels.
• void SetSeamEstimationResol(double resol_mpx)
  • Summary: Sets the seam estimation resolution in megapixels.
  • Parameter resol_mpx: Resolution in megapixels for the seam estimation step.
• double CompositingResol()
  • Summary: Returns the compositing resolution in megapixels.
  • Returns: The compositing resolution in megapixels.
• void SetCompositingResol(double resol_mpx)
  • Summary: Sets the compositing resolution in megapixels.
  • Parameter resol_mpx: Resolution in megapixels for the compositing step.
• double PanoConfidenceThresh()
  • Summary: Returns the confidence threshold for panorama result.
  • Returns: The panorama confidence threshold.
• void SetPanoConfidenceThresh(double conf_thresh)
  • Summary: Sets the confidence threshold for panorama result.
  • Parameter conf_thresh: Confidence threshold value. Images with lower match confidence are rejected.
• bool WaveCorrection()
  • Summary: Returns whether wave correction is enabled.
  • Returns: True if wave correction is enabled, false otherwise.
• void SetWaveCorrection(bool flag)
  • Summary: Sets whether wave correction should be applied.
  • Parameter flag: True to enable wave correction, false to disable.
• InterpolationFlags InterpolationFlags()
  • Summary: Returns the interpolation flags used for image warping.
  • Returns: The current interpolation flags.
• void SetInterpolationFlags(InterpolationFlags interp_flags)
  • Summary: Sets the interpolation flags used for image warping.
  • Parameter interp_flags: Interpolation flags to use during image warping.
• StitcherStatus EstimateTransform(IntPtr images, IntPtr masks)
  • Summary: These functions try to match the given images and to estimate rotations of each camera.
  • Remarks:

.: info Note Use the functions only if you're aware of the stitching pipeline, otherwise use Stitcher.stitch. .:

• Parameter images: Input images.
• Parameter masks: Masks for each input image specifying where to look for keypoints (optional).
• Returns: Status code.
• StitcherStatus ComposePanorama(Mat pano)
  • Summary: This is an overloaded member function, provided for convenience.
  • Parameter pano: The pano parameter.
  • Returns: The returned value.
• StitcherStatus ComposePanorama(IntPtr images, Mat pano)
  • Summary: These functions try to compose the given images (or images stored internally from the other function calls) into the final pano under the assumption that the image transformations were estimated before.
  • Remarks:

.: info Note Use the functions only if you're aware of the stitching pipeline, otherwise use Stitcher.stitch. .:

• Parameter images: Input images.
• Parameter pano: Final pano.
• Returns: Status code.
• StitcherStatus Stitch(IntPtr images, Mat pano)
  • Summary: This is an overloaded member function, provided for convenience.
  • Parameter images: The images parameter.
  • Parameter pano: The pano parameter.
  • Returns: The returned value.
• StitcherStatus Stitch(IntPtr images, IntPtr masks, Mat pano)
  • Summary: These functions try to stitch the given images.
  • Parameter images: Input images.
  • Parameter masks: Masks for each input image specifying where to look for keypoints (optional).
  • Parameter pano: Final pano.
  • Returns: Status code.
• IntPtr Component()
  • Summary: Returns indices of input images used in panorama stitching
  • Returns: The returned value.
• IntPtr Cameras()
  • Summary: Returns estimated camera parameters for all stitched images
  • Returns: The returned value.
• double WorkScale()
  • Summary: Returns the work scale used internally during the stitching pipeline.
  • Returns: The internal work scale value.

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WarperCreator

Inherits from: DisposableOpenCVObject

Image warper factories base class.

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DetailAffineBasedEstimator

Inherits from: DetailEstimator

Affine transformation based estimator.

Detailed Remarks: This estimator uses pairwise transformations estimated by matcher to estimate final transformation for each camera. See also: Detail.HomographyBasedEstimator

Constructors

• new DetailAffineBasedEstimator()
  • Summary: Wrapper for OpenCV's native functionality.

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DetailAffineBestOf2NearestMatcher

Inherits from: DetailBestOf2NearestMatcher

Features matcher similar to Detail.BestOf2NearestMatcher which finds two best matches for each feature and leaves the best one only if the ratio between descriptor distances is greater than the threshold match_conf.

Detailed Remarks: Unlike Detail.BestOf2NearestMatcher this matcher uses affine transformation (affine transformation estimate will be placed in matches_info). See also: Detail.FeaturesMatcher Detail.BestOf2NearestMatcher

Constructors

• new DetailAffineBestOf2NearestMatcher(bool full_affine, bool try_use_gpu, float match_conf, int num_matches_thresh1)
  • Summary: Constructs a "best of 2 nearest" matcher that expects affine transformation between images
  • Parameter full_affine: whether to use full affine transformation with 6 degress of freedom or reduced transformation with 4 degrees of freedom using only rotation, translation and uniform scaling
  • Parameter try_use_gpu: Should try to use GPU or not
  • Parameter match_conf: Match distances ration threshold
  • Parameter num_matches_thresh1: Minimum number of matches required for the 2D affine transform estimation used in the inliers classification step

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DetailBestOf2NearestMatcher

Inherits from: DetailFeaturesMatcher

Features matcher which finds two best matches for each feature and leaves the best one only if the ratio between descriptor distances is greater than the threshold match_conf

Detailed Remarks: See also: Detail.FeaturesMatcher

Constructors

• new DetailBestOf2NearestMatcher(bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2, double matches_confidence_thresh)
  • Summary: Constructs a "best of 2 nearest" matcher.
  • Parameter try_use_gpu: Should try to use GPU or not
  • Parameter match_conf: Match distances ration threshold
  • Parameter num_matches_thresh1: Minimum number of matches required for the 2D projective transform estimation used in the inliers classification step
  • Parameter num_matches_thresh2: Minimum number of matches required for the 2D projective transform re-estimation on inliers
  • Parameter matches_confidence_thresh: Matching confidence threshold to take the match into account. The threshold was determined experimentally and set to 3 by default.

Methods

• void CollectGarbage()
  • Summary: Wrapper for OpenCV's native functionality.
• DetailBestOf2NearestMatcher? Create(bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2, double matches_confidence_thresh)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter try_use_gpu: The try_use_gpu parameter.
  • Parameter match_conf: The match_conf parameter.
  • Parameter num_matches_thresh1: The num_matches_thresh1 parameter.
  • Parameter num_matches_thresh2: The num_matches_thresh2 parameter.
  • Parameter matches_confidence_thresh: The matches_confidence_thresh parameter.
  • Returns: The returned value.

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DetailBestOf2NearestRangeMatcher

Inherits from: DetailBestOf2NearestMatcher

Wrapper for OpenCV's native functionality.

Constructors

• new DetailBestOf2NearestRangeMatcher(int range_width, bool try_use_gpu, float match_conf, int num_matches_thresh1, int num_matches_thresh2)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter range_width: The range_width parameter.
  • Parameter try_use_gpu: The try_use_gpu parameter.
  • Parameter match_conf: The match_conf parameter.
  • Parameter num_matches_thresh1: The num_matches_thresh1 parameter.
  • Parameter num_matches_thresh2: The num_matches_thresh2 parameter.

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DetailBlender

Inherits from: DisposableOpenCVObject

Base class for all blenders.

Detailed Remarks: Simple blender which puts one image over another

Methods

• DetailBlender? CreateDefault(int type, bool try_gpu)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter type: The type parameter.
  • Parameter try_gpu: The try_gpu parameter.
  • Returns: The returned value.
• void Prepare(IntPtr corners, IntPtr sizes)
  • Summary: Prepares the blender for blending.
  • Parameter corners: Source images top-left corners
  • Parameter sizes: Source image sizes
• void Prepare(Rect dst_roi)
  • Summary: This is an overloaded member function, provided for convenience.
  • Parameter dst_roi: The dst_roi parameter.
• void Feed(Mat img, Mat mask, Point tl)
  • Summary: Processes the image.
  • Parameter img: Source image
  • Parameter mask: Source image mask
  • Parameter tl: Source image top-left corners
• void Blend(Mat dst, Mat dst_mask)
  • Summary: Blends and returns the final pano.
  • Parameter dst: Final pano
  • Parameter dst_mask: Final pano mask

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DetailBlocksChannelsCompensator

Inherits from: DetailBlocksCompensator

Exposure compensator which tries to remove exposure related artifacts by adjusting image block on each channel.

Constructors

• new DetailBlocksChannelsCompensator(int bl_width, int bl_height, int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter bl_width: The bl_width parameter.
  • Parameter bl_height: The bl_height parameter.
  • Parameter nr_feeds: The nr_feeds parameter.

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DetailBlocksCompensator

Inherits from: DetailExposureCompensator

Exposure compensator which tries to remove exposure related artifacts by adjusting image blocks.

Methods

• void Apply(int index, Point corner, Mat image, Mat mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter index: The index parameter.
  • Parameter corner: The corner parameter.
  • Parameter image: Input image.
  • Parameter mask: Optional operation mask.
• void GetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetNrFeeds(int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter nr_feeds: The nr_feeds parameter.
• int GetNrFeeds()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetSimilarityThreshold(double similarity_threshold)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter similarity_threshold: The similarity_threshold parameter.
• double GetSimilarityThreshold()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetBlockSize(int width, int height)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter width: The width parameter.
  • Parameter height: The height parameter.
• void SetBlockSize(Size size)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter size: The size parameter.
• Size GetBlockSize()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetNrGainsFilteringIterations(int nr_iterations)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter nr_iterations: The nr_iterations parameter.
• int GetNrGainsFilteringIterations()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

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DetailBlocksGainCompensator

Inherits from: DetailBlocksCompensator

Exposure compensator which tries to remove exposure related artifacts by adjusting image block intensities, see [UES01] for details.

Constructors

• new DetailBlocksGainCompensator(int bl_width, int bl_height)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter bl_width: The bl_width parameter.
  • Parameter bl_height: The bl_height parameter.
• new DetailBlocksGainCompensator(int bl_width, int bl_height, int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter bl_width: The bl_width parameter.
  • Parameter bl_height: The bl_height parameter.
  • Parameter nr_feeds: The nr_feeds parameter.

Methods

• void Apply(int index, Point corner, Mat image, Mat mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter index: The index parameter.
  • Parameter corner: The corner parameter.
  • Parameter image: Input image.
  • Parameter mask: Optional operation mask.
• void GetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.

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DetailBundleAdjusterAffine

Inherits from: DetailBundleAdjusterBase

Bundle adjuster that expects affine transformation represented in homogeneous coordinates in R for each camera param. Implements camera parameters refinement algorithm which minimizes sum of the reprojection error squares

Detailed Remarks: It estimates all transformation parameters. Refinement mask is ignored. See also: AffineBasedEstimator AffineBestOf2NearestMatcher BundleAdjusterAffinePartial

Constructors

• new DetailBundleAdjusterAffine()
  • Summary: Wrapper for OpenCV's native functionality.

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DetailBundleAdjusterAffinePartial

Inherits from: DetailBundleAdjusterBase

Bundle adjuster that expects affine transformation with 4 DOF represented in homogeneous coordinates in R for each camera param. Implements camera parameters refinement algorithm which minimizes sum of the reprojection error squares

Detailed Remarks: It estimates all transformation parameters. Refinement mask is ignored. See also: AffineBasedEstimator AffineBestOf2NearestMatcher BundleAdjusterAffine

Constructors

• new DetailBundleAdjusterAffinePartial()
  • Summary: Wrapper for OpenCV's native functionality.

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DetailBundleAdjusterBase

Inherits from: DetailEstimator

Base class for all camera parameters refinement methods.

Methods

• Mat? RefinementMask()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetRefinementMask(Mat mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter mask: Optional operation mask.
• double ConfThresh()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetConfThresh(double conf_thresh)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter conf_thresh: The conf_thresh parameter.
• TermCriteria TermCriteria()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetTermCriteria(TermCriteria term_criteria)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter term_criteria: The term_criteria parameter.

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DetailBundleAdjusterRay

Inherits from: DetailBundleAdjusterBase

Implementation of the camera parameters refinement algorithm which minimizes sum of the distances between the rays passing through the camera center and a feature. :

Detailed Remarks: It can estimate focal length. It ignores the refinement mask for now.

Constructors

• new DetailBundleAdjusterRay()
  • Summary: Wrapper for OpenCV's native functionality.

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DetailBundleAdjusterReproj

Inherits from: DetailBundleAdjusterBase

Implementation of the camera parameters refinement algorithm which minimizes sum of the reprojection error squares

Detailed Remarks: It can estimate focal length, aspect ratio, principal point. You can affect only on them via the refinement mask.

Constructors

• new DetailBundleAdjusterReproj()
  • Summary: Wrapper for OpenCV's native functionality.

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DetailCameraParams

Inherits from: DisposableOpenCVObject

Describes camera parameters.

Detailed Remarks: .: info Note Translation is assumed to be zero during the whole stitching pipeline. : .:

Properties

Property	Type	Description
Focal	double	Gets or sets the focal property.
Aspect	double	Gets or sets the aspect property.
Ppx	double	Gets or sets the ppx property.
Ppy	double	Gets or sets the ppy property.
R	Mat?	Gets or sets the R property.
T	Mat?	Gets or sets the t property.

Methods

• Mat? K()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

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DetailChannelsCompensator

Inherits from: DetailExposureCompensator

Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities on each channel independently.

Constructors

• new DetailChannelsCompensator(int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter nr_feeds: The nr_feeds parameter.

Methods

• void Apply(int index, Point corner, Mat image, Mat mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter index: The index parameter.
  • Parameter corner: The corner parameter.
  • Parameter image: Input image.
  • Parameter mask: Optional operation mask.
• void GetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetNrFeeds(int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter nr_feeds: The nr_feeds parameter.
• int GetNrFeeds()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetSimilarityThreshold(double similarity_threshold)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter similarity_threshold: The similarity_threshold parameter.
• double GetSimilarityThreshold()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

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DetailDpSeamFinder

Inherits from: DetailSeamFinder

Wrapper for OpenCV's native functionality.

Constructors

• new DetailDpSeamFinder(string costFunc)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter costFunc: The costFunc parameter.

Methods

• void SetCostFunction(string val)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter val: The val parameter.

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DetailEstimator

Inherits from: DisposableOpenCVObject

Rotation estimator base class.

Detailed Remarks: It takes features of all images, pairwise matches between all images and estimates rotations of all cameras. .: info Note The coordinate system origin is implementation-dependent, but you can always normalize the rotations in respect to the first camera, for instance. : .:

Methods

• bool Operator(IntPtr features, IntPtr pairwise_matches, IntPtr cameras)
  • Summary: Estimates camera parameters.
  • Parameter features: Features of images
  • Parameter pairwise_matches: Pairwise matches of images
  • Parameter cameras: Estimated camera parameters
  • Returns: True in case of success, false otherwise

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DetailExposureCompensator

Inherits from: DisposableOpenCVObject

Base class for all exposure compensators.

Methods

• DetailExposureCompensator? CreateDefault(int type)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter type: The type parameter.
  • Returns: The returned value.
• void Feed(IntPtr corners, IntPtr images, IntPtr masks)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter corners: Source image top-left corners
  • Parameter images: Source images
  • Parameter masks: Image masks to update (second value in pair specifies the value which should be used to detect where image is)
• void Apply(int index, Point corner, Mat image, Mat mask)
  • Summary: Compensate exposure in the specified image.
  • Parameter index: Image index
  • Parameter corner: Image top-left corner
  • Parameter image: Image to process
  • Parameter mask: Image mask
• void GetMatGains(IntPtr arg1)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter arg1: The arg1 parameter.
• void SetMatGains(IntPtr arg1)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter arg1: The arg1 parameter.
• void SetUpdateGain(bool b)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter b: The b parameter.
• bool GetUpdateGain()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

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DetailFeatherBlender

Inherits from: DetailBlender

Simple blender which mixes images at its borders.

Constructors

• new DetailFeatherBlender(float sharpness)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter sharpness: The sharpness parameter.

Methods

• float Sharpness()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetSharpness(float val)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter val: The val parameter.
• void Prepare(Rect dst_roi)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter dst_roi: The dst_roi parameter.
• void Feed(Mat img, Mat mask, Point tl)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter img: Input image.
  • Parameter mask: Optional operation mask.
  • Parameter tl: The tl parameter.
• void Blend(Mat dst, Mat dst_mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter dst: Destination matrix or image (output).
  • Parameter dst_mask: The dst_mask parameter.
• Rect CreateWeightMaps(IntPtr masks, IntPtr corners, IntPtr weight_maps)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter masks: The masks parameter.
  • Parameter corners: The corners parameter.
  • Parameter weight_maps: The weight_maps parameter.
  • Returns: The returned value.

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DetailFeaturesMatcher

Inherits from: DisposableOpenCVObject

Feature matchers base class.

Methods

• void Operator(DetailImageFeatures features1, DetailImageFeatures features2, DetailMatchesInfo matches_info)
  • Summary: This is an overloaded member function, provided for convenience.
  • Parameter features1: First image features
  • Parameter features2: Second image features
  • Parameter matches_info: Found matches
• void Operator(IntPtr features, IntPtr pairwise_matches, IntPtr mask)
  • Summary: Performs images matching.
  • Remarks:

See also: Detail.MatchesInfo

• Parameter features: Features of the source images
• Parameter pairwise_matches: Found pairwise matches
• Parameter mask: Mask indicating which image pairs must be matched The function is parallelized with the TBB library.
• bool IsThreadSafe()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: True, if it's possible to use the same matcher instance in parallel, false otherwise
• void CollectGarbage()
  • Summary: Frees unused memory allocated before if there is any.

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DetailGainCompensator

Inherits from: DetailExposureCompensator

Exposure compensator which tries to remove exposure related artifacts by adjusting image intensities, see [BL07] and [WJ10] for details.

Constructors

• new DetailGainCompensator()
  • Summary: Wrapper for OpenCV's native functionality.
• new DetailGainCompensator(int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter nr_feeds: The nr_feeds parameter.

Methods

• void Apply(int index, Point corner, Mat image, Mat mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter index: The index parameter.
  • Parameter corner: The corner parameter.
  • Parameter image: Input image.
  • Parameter mask: Optional operation mask.
• void GetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetNrFeeds(int nr_feeds)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter nr_feeds: The nr_feeds parameter.
• int GetNrFeeds()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetSimilarityThreshold(double similarity_threshold)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter similarity_threshold: The similarity_threshold parameter.
• double GetSimilarityThreshold()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

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DetailGraphCutSeamFinder

Inherits from: DisposableOpenCVObject

Minimum graph cut-based seam estimator. See details in [Kwatra03] .

Constructors

• new DetailGraphCutSeamFinder(string cost_type, float terminal_cost, float bad_region_penalty)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter cost_type: The cost_type parameter.
  • Parameter terminal_cost: The terminal_cost parameter.
  • Parameter bad_region_penalty: The bad_region_penalty parameter.

Methods

• void Find(IntPtr src, IntPtr corners, IntPtr masks)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter src: Source matrix or image.
  • Parameter corners: The corners parameter.
  • Parameter masks: The masks parameter.

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DetailHomographyBasedEstimator

Inherits from: DetailEstimator

Homography based rotation estimator.

Constructors

• new DetailHomographyBasedEstimator(bool is_focals_estimated)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter is_focals_estimated: The is_focals_estimated parameter.

---

DetailImageFeatures

Inherits from: DisposableOpenCVObject

Structure containing image keypoints and descriptors.

Properties

Property	Type	Description
ImgIdx	int	Gets or sets the img_idx property.
ImgSize	Size	Gets or sets the img_size property.
Keypoints	IntPtr	Gets or sets the keypoints property.
Descriptors	IntPtr	Gets or sets the descriptors property.

Methods

• IntPtr GetKeypoints()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

---

DetailLightGlueFeaturesMatcher

Inherits from: DetailFeaturesMatcher

Features matcher that adapts LightGlueMatcher (DescriptorMatcher) to the stitching pipeline's FeaturesMatcher interface.

Detailed Remarks: This matcher uses DNN-based LightGlue for feature matching, requiring ALIKED-style keypoints with spatial context for positional encoding. See also: Detail.FeaturesMatcher LightGlueMatcher

Constructors

• new DetailLightGlueFeaturesMatcher(LightGlueMatcher lgMatcher, int num_matches_thresh1, int num_matches_thresh2, double matches_confidence_thresh)
  • Summary: Constructs a LightGlue features matcher.
  • Parameter lgMatcher: LightGlueMatcher instance for DNN-based matching
  • Parameter num_matches_thresh1: Minimum number of matches required for the 2D projective transform estimation used in the inliers classification step
  • Parameter num_matches_thresh2: Minimum number of matches required for the 2D projective transform re-estimation on inliers
  • Parameter matches_confidence_thresh: Matching confidence threshold to take the match into account.

Methods

• void SetScoreThreshold(float thresh)
  • Summary: Sets the LightGlue confidence threshold for filtering matches.
  • Parameter thresh: The thresh parameter.

---

DetailMatchesInfo

Inherits from: DisposableOpenCVObject

Structure containing information about matches between two images.

Detailed Remarks: It's assumed that there is a transformation between those images. Transformation may be homography or affine transformation based on selected matcher. See also: Detail.FeaturesMatcher

Properties

Property	Type	Description
SrcImgIdx	int	Gets or sets the src_img_idx property.
DstImgIdx	int	Gets or sets the dst_img_idx property.
Matches	IntPtr	Gets or sets the matches property.
InliersMask	IntPtr	Gets or sets the inliers_mask property.
NumInliers	int	Gets or sets the num_inliers property.
H	Mat?	Gets or sets the H property.
Confidence	double	Gets or sets the confidence property.

Methods

• IntPtr GetMatches()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• IntPtr GetInliers()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

---

DetailMultiBandBlender

Inherits from: DetailBlender

Blender which uses multi-band blending algorithm (see [BA83]).

Constructors

• new DetailMultiBandBlender(int try_gpu, int num_bands, int weight_type)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter try_gpu: The try_gpu parameter.
  • Parameter num_bands: The num_bands parameter.
  • Parameter weight_type: The weight_type parameter.

Methods

• int NumBands()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.
• void SetNumBands(int val)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter val: The val parameter.
• void Prepare(Rect dst_roi)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter dst_roi: The dst_roi parameter.
• void Feed(Mat img, Mat mask, Point tl)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter img: Input image.
  • Parameter mask: Optional operation mask.
  • Parameter tl: The tl parameter.
• void Blend(Mat dst, Mat dst_mask)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter dst: Destination matrix or image (output).
  • Parameter dst_mask: The dst_mask parameter.

---

DetailNoBundleAdjuster

Inherits from: DetailBundleAdjusterBase

Stub bundle adjuster that does nothing.

Constructors

• new DetailNoBundleAdjuster()
  • Summary: Wrapper for OpenCV's native functionality.

---

DetailNoExposureCompensator

Inherits from: DetailExposureCompensator

Stub exposure compensator which does nothing.

Methods

• void Apply(int arg1, Point arg2, Mat arg3, Mat arg4)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter arg1: The arg1 parameter.
  • Parameter arg2: The arg2 parameter.
  • Parameter arg3: The arg3 parameter.
  • Parameter arg4: The arg4 parameter.
• void GetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.
• void SetMatGains(IntPtr umv)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter umv: The umv parameter.

---

DetailNoSeamFinder

Inherits from: DetailSeamFinder

Stub seam estimator which does nothing.

Methods

• void Find(IntPtr arg1, IntPtr arg2, IntPtr arg3)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter arg1: The arg1 parameter.
  • Parameter arg2: The arg2 parameter.
  • Parameter arg3: The arg3 parameter.

---

DetailPairwiseSeamFinder

Inherits from: DetailSeamFinder

Base class for all pairwise seam estimators.

Methods

• void Find(IntPtr src, IntPtr corners, IntPtr masks)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter src: Source matrix or image.
  • Parameter corners: The corners parameter.
  • Parameter masks: The masks parameter.

---

DetailProjectorBase

Inherits from: DisposableOpenCVObject

Base class for warping logic implementation.

---

DetailSeamFinder

Inherits from: DisposableOpenCVObject

Base class for a seam estimator.

Methods

• void Find(IntPtr src, IntPtr corners, IntPtr masks)
  • Summary: Estimates seams.
  • Parameter src: Source images
  • Parameter corners: Source image top-left corners
  • Parameter masks: Source image masks to update
• DetailSeamFinder? CreateDefault(int type)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter type: The type parameter.
  • Returns: The returned value.

---

DetailSphericalProjector

Inherits from: DetailProjectorBase

Extracts rotation and translation matrices from matrix H representing affine transformation in homogeneous coordinates

Methods

• void MapForward(float x, float y, float u, float v)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter x: The x parameter.
  • Parameter y: The y parameter.
  • Parameter u: The u parameter.
  • Parameter v: The v parameter.
• void MapBackward(float u, float v, float x, float y)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter u: The u parameter.
  • Parameter v: The v parameter.
  • Parameter x: The x parameter.
  • Parameter y: The y parameter.

---

DetailTimelapser

Inherits from: DisposableOpenCVObject

Wrapper for OpenCV's native functionality.

Methods

• DetailTimelapser? CreateDefault(int type)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter type: The type parameter.
  • Returns: The returned value.
• void Initialize(IntPtr corners, IntPtr sizes)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter corners: The corners parameter.
  • Parameter sizes: The sizes parameter.
• void Process(Mat img, Mat mask, Point tl)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter img: Input image.
  • Parameter mask: Optional operation mask.
  • Parameter tl: The tl parameter.
• IntPtr GetDst()
  • Summary: Wrapper for OpenCV's native functionality.
  • Returns: The returned value.

---

DetailTimelapserCrop

Inherits from: DetailTimelapser

Wrapper for OpenCV's native functionality.

---

DetailVoronoiSeamFinder

Inherits from: DetailPairwiseSeamFinder

Voronoi diagram-based seam estimator.

Methods

• void Find(IntPtr src, IntPtr corners, IntPtr masks)
  • Summary: Wrapper for OpenCV's native functionality.
  • Parameter src: Source matrix or image.
  • Parameter corners: The corners parameter.
  • Parameter masks: The masks parameter.

---

⚙️ Static Methods (Cv2)

Cv2.DetailFocalsFromHomography

Signature: void DetailFocalsFromHomography(Mat H, double f0, double f1, bool f0_ok, bool f1_ok)

Tries to estimate focal lengths from the given homography under the assumption that the camera undergoes rotations around its centre only.

Parameters:

• H: Homography.
• f0: Estimated focal length along X axis.
• f1: Estimated focal length along Y axis.
• f0_ok: True, if f0 was estimated successfully, false otherwise.
• f1_ok: True, if f1 was estimated successfully, false otherwise. See "Construction of Panoramic Image Mosaics with Global and Local Alignment" by Heung-Yeung Shum and Richard Szeliski.

---

Cv2.DetailCalibrateRotatingCamera

Signature: bool DetailCalibrateRotatingCamera(IntPtr Hs, Mat K)

Estimates focal lengths for each given camera.

Parameters:

• Hs: The Hs parameter.
• K: The K parameter.

Returns: The returned value.

---

Cv2.DetailNormalizeUsingWeightMap

Signature: void DetailNormalizeUsingWeightMap(Mat weight, Mat src)

Wrapper for OpenCV's native functionality.

Parameters:

• weight: The weight parameter.
• src: Source matrix or image.

---

Cv2.DetailCreateWeightMap

Signature: void DetailCreateWeightMap(Mat mask, float sharpness, Mat weight)

Wrapper for OpenCV's native functionality.

Parameters:

• mask: Optional operation mask.
• sharpness: The sharpness parameter.
• weight: The weight parameter.

---

Cv2.DetailCreateLaplacePyr

Signature: void DetailCreateLaplacePyr(Mat img, int num_levels, IntPtr pyr)

Wrapper for OpenCV's native functionality.

Parameters:

• img: Input image.
• num_levels: The num_levels parameter.
• pyr: The pyr parameter.

---

Cv2.DetailCreateLaplacePyrGpu

Signature: void DetailCreateLaplacePyrGpu(Mat img, int num_levels, IntPtr pyr)

Wrapper for OpenCV's native functionality.

Parameters:

• img: Input image.
• num_levels: The num_levels parameter.
• pyr: The pyr parameter.

---

Cv2.DetailRestoreImageFromLaplacePyr

Signature: void DetailRestoreImageFromLaplacePyr(IntPtr pyr)

Wrapper for OpenCV's native functionality.

Parameters:

• pyr: The pyr parameter.

---

Cv2.DetailRestoreImageFromLaplacePyrGpu

Signature: void DetailRestoreImageFromLaplacePyrGpu(IntPtr pyr)

Wrapper for OpenCV's native functionality.

Parameters:

• pyr: The pyr parameter.

---

Cv2.DetailComputeImageFeatures

Signature: void DetailComputeImageFeatures(Feature2D featuresFinder, IntPtr images, IntPtr features, IntPtr masks)

Wrapper for OpenCV's native functionality.

Parameters:

• featuresFinder: The featuresFinder parameter.
• images: The images parameter.
• features: The features parameter.
• masks: The masks parameter.

---

Cv2.DetailComputeImageFeatures

Signature: void DetailComputeImageFeatures(Feature2D featuresFinder, Mat image, DetailImageFeatures features, Mat? mask)

Wrapper for OpenCV's native functionality.

Parameters:

• featuresFinder: The featuresFinder parameter.
• image: Input image.
• features: The features parameter.
• mask: Optional operation mask.

---

Cv2.DetailWaveCorrect

Signature: void DetailWaveCorrect(IntPtr rmats, DetailWaveCorrectKind kind)

Tries to make panorama more horizontal (or vertical).

Parameters:

• rmats: Camera rotation matrices.
• kind: Correction kind, see Detail.WaveCorrectKind.

---

Cv2.DetailMatchesGraphAsString

Signature: string? DetailMatchesGraphAsString(IntPtr paths, IntPtr pairwise_matches, float conf_threshold)

Wrapper for OpenCV's native functionality.

Parameters:

• paths: The paths parameter.
• pairwise_matches: The pairwise_matches parameter.
• conf_threshold: The conf_threshold parameter.

Returns: The returned value.

---

Cv2.DetailLeaveBiggestComponent

Signature: IntPtr DetailLeaveBiggestComponent(IntPtr features, IntPtr pairwise_matches, float conf_threshold)

Wrapper for OpenCV's native functionality.

Parameters:

• features: The features parameter.
• pairwise_matches: The pairwise_matches parameter.
• conf_threshold: The conf_threshold parameter.

Returns: The returned value.

---

Cv2.DetailOverlapRoi

Signature: bool DetailOverlapRoi(Point tl1, Point tl2, Size sz1, Size sz2, Rect roi)

Wrapper for OpenCV's native functionality.

Parameters:

• tl1: The tl1 parameter.
• tl2: The tl2 parameter.
• sz1: The sz1 parameter.
• sz2: The sz2 parameter.
• roi: The roi parameter.

Returns: The returned value.

---

Cv2.DetailResultRoi

Signature: Rect DetailResultRoi(IntPtr corners, IntPtr images)

Wrapper for OpenCV's native functionality.

Parameters:

• corners: The corners parameter.
• images: The images parameter.

Returns: The returned value.

---

Cv2.DetailResultRoiIntersection

Signature: Rect DetailResultRoiIntersection(IntPtr corners, IntPtr sizes)

Wrapper for OpenCV's native functionality.

Parameters:

• corners: The corners parameter.
• sizes: The sizes parameter.

Returns: The returned value.

---

Cv2.DetailResultTl

Signature: Point DetailResultTl(IntPtr corners)

Wrapper for OpenCV's native functionality.

Parameters:

• corners: The corners parameter.

Returns: The returned value.

---

Cv2.DetailSelectRandomSubset

Signature: void DetailSelectRandomSubset(int count, int size, IntPtr subset)

Wrapper for OpenCV's native functionality.

Parameters:

• count: The count parameter.
• size: The size parameter.
• subset: The subset parameter.

---

Cv2.DetailStitchingLogLevel

Signature: int DetailStitchingLogLevel()

Wrapper for OpenCV's native functionality.

Returns: The returned value.

---

🔢 Enumerations

StitcherMode

Wrapper for OpenCV's native functionality.

Member	Value	Description
Panorama	0	Panorama
Scans	1	Scans

---

StitcherStatus

Wrapper for OpenCV's native functionality.

Member	Value	Description
Ok	0	Ok
ErrNeedMoreImgs	1	ErrNeedMoreImgs
ErrHomographyEstFail	2	ErrHomographyEstFail
ErrCameraParamsAdjustFail	3	ErrCameraParamsAdjustFail

---

UnnamedEnum13DetailBlender

Wrapper for OpenCV's native functionality.

Member	Value	Description
No	0	No
Feather	1	Feather
MultiBand	2	MultiBand

---

DetailDpSeamFinderCostFunction

Wrapper for OpenCV's native functionality.

Member	Value	Description
Color	0	Color
ColorGrad	1	ColorGrad

---

UnnamedEnum14DetailExposureCompensator

Wrapper for OpenCV's native functionality.

Member	Value	Description
No	0	No
Gain	1	Gain
GainBlocks	2	GainBlocks
Channels	3	Channels
ChannelsBlocks	4	ChannelsBlocks

---

DetailGraphCutSeamFinderBaseCostType

Wrapper for OpenCV's native functionality.

Member	Value	Description
Color	0	Color
ColorGrad	1	ColorGrad

---

UnnamedEnum15DetailSeamFinder

Wrapper for OpenCV's native functionality.

Member	Value	Description
No	0	No
VoronoiSeam	1	VoronoiSeam
DpSeam	2	DpSeam

---

UnnamedEnum16DetailTimelapser

Wrapper for OpenCV's native functionality.

Member	Value	Description
AsIs	0	AsIs
Crop	1	Crop

---

DetailWaveCorrectKind

Wrapper for OpenCV's native functionality.

Member	Value	Description
Horiz	0	Horiz
Vert	1	Vert
Auto	2	Auto

---