Code Generation Support, Usage Notes, and Limitations

Code Generation Support, Usage Notes, and Limitations for Functions, Classes, and System Objects

To generate code from MATLAB^® code that contains Computer Vision Toolbox™ functions, classes, or System objects, you must have the MATLAB Coder™ software.

An asterisk (*) indicates that the reference page has usage notes and limitations for C/C++ code generation.

acfObjectDetector*	Detect objects using aggregate channel features
affine2d*	2-D affine geometric transformation
affine3d*	3-D affine geometric transformation
assignDetectionsToTracks	Assign detections to tracks for multiobject tracking
bbox2points	Convert rectangle to corner points list
bboxOverlapRatio	Compute bounding box overlap ratio
binaryFeatures	Object for storing binary feature vectors
BRISKPoints*	Object for storing BRISK interest points
cameraMatrix*	Camera projection matrix
cameraParameters*	Object for storing camera parameters
cameraPose*	Compute relative rotation and translation between camera poses
cameraPoseToExtrinsics	Convert camera pose to extrinsics
cornerPoints*	Object for storing corner points
detect*	Detect objects using ACF object detector
detectBRISKFeatures*	Detect BRISK features and return BRISKPoints object
detectCheckerboardPoints*	Detect checkerboard pattern in image
detectFASTFeatures*	Detect corners using FAST algorithm and return cornerPoints object
detectHarrisFeatures*	Detect corners using Harris–Stephens algorithm and return cornerPoints object
detectKAZEFeatures*	Detect KAZE features
detectMinEigenFeatures*	Detect corners using minimum eigenvalue algorithm and return cornerPoints object
detectMSERFeatures*	Detect MSER features and return MSERRegions object
detectORBFeatures	Detect and store ORB keypoints
detectSURFFeatures*	Detect SURF features and return SURFPoints object
disparity*	(Not recommended) Disparity map between stereo images
disparityBM	Compute disparity map using block matching
disparitySGM	Compute disparity map through semi-global matching
epipolarLine	Compute epipolar lines for stereo images
estimateEssentialMatrix*	Estimate essential matrix from corresponding points in a pair of images
estimateFlow	Estimate optical flow
estimateFundamentalMatrix*	Estimate fundamental matrix from corresponding points in stereo images
estimateGeometricTransform*	Estimate geometric transform from matching point pairs
estimateUncalibratedRectification	Uncalibrated stereo rectification
estimateWorldCameraPose*	Estimate camera pose from 3-D to 2-D point correspondences
extractFeatures*	Extract interest point descriptors
extractHOGFeatures	Extract histogram of oriented gradients (HOG) features
extractLBPFeatures*	Extract local binary pattern (LBP) features
extrinsics*	Compute location of calibrated camera
extrinsicsToCameraPose	Convert extrinsics to camera pose
findNearestNeighbors*	Find nearest neighbors of a point in point cloud
findNeighborsInRadius*	Find neighbors within a radius of a point in the point cloud
findPointsInROI	Find points within a region of interest in the point cloud
generateCheckerboardPoints	Generate checkerboard corner locations
imcrop*	Crop image
imresize*	Resize image
imwarp*	Apply geometric transformation to image
insertMarker*	Insert markers in image or video
insertObjectAnnotation*	Annotate truecolor or grayscale image or video stream
insertShape*	Insert shapes in image or video
insertText*	Insert text in image or video
isEpipoleInImage	Determine whether image contains epipole
KAZEPoints*	Object for storing KAZE interest points
lineToBorderPoints	Intersection points of lines in image and image border
matchFeatures*	Find matching features
MSERRegions*	Object for storing MSER regions
ocr*	Recognize text using optical character recognition
ocrText*	Object for storing OCR results
opticalFlow	Object for storing optical flow matrices
opticalFlowFarneback	Object for estimating optical flow using Farneback method
opticalFlowHS	Object for estimating optical flow using Horn-Schunck method
opticalFlowLK	Object for estimating optical flow using Lucas-Kanade method
opticalFlowLKDoG	Object for estimating optical flow using Lucas-Kanade derivative of Gaussian method
ORBPoints*	Object for storing ORB keypoints
pcdenoise*	Remove noise from 3-D point cloud
pcdownsample*	Downsample a 3-D point cloud
pcfitcylinder*	Fit cylinder to 3-D point cloud
pcfitplane*	Fit plane to 3-D point cloud
pcfitsphere*	Fit sphere to 3-D point cloud
pcmerge*	Merge two 3-D point clouds
pcnormals*	Estimate normals for point cloud
pcregistercpd*	Register two point clouds using CPD algorithm
pcregisterndt*	Register two point clouds using NDT algorithm
pcsegdist*	Segment point cloud into clusters based on Euclidean distance
pctransform*	Transform 3-D point cloud
pointCloud	Object for storing 3-D point cloud
projective2d*	2-D projective geometric transformation
reconstructScene*	Reconstruct 3-D scene from disparity map
rectifyStereoImages*	Rectify a pair of stereo images
relativeCameraPose*	Compute relative rotation and translation between camera poses
removeInvalidPoints	Remove invalid points from point cloud
reset	Reset the internal state of the optical flow estimation object
rotationMatrixToVector	Convert 3-D rotation matrix to rotation vector
rotationVectorToMatrix	Convert 3-D rotation vector to rotation matrix
segmentLidarData*	Segment organized 3-D range data into clusters
select	Select points in point cloud
selectStrongestBbox	Select strongest bounding boxes from overlapping clusters
selectStrongestBboxMulticlass*	Select strongest multiclass bounding boxes from overlapping clusters
stereoAnaglyph	Create red-cyan anaglyph from stereo pair of images
stereoParameters*	Object for storing stereo camera system parameters
SURFPoints*	Object for storing SURF interest points
triangulate*	3-D locations of undistorted matching points in stereo images
undistortImage*	Correct image for lens distortion
vision.AlphaBlender*	Combine images, overlay images, or highlight selected pixels
vision.BlobAnalysis*	Properties of connected regions
vision.CascadeObjectDetector*	Detect objects using the Viola-Jones algorithm
vision.ChromaResampler*	Downsample or upsample chrominance components of images
vision.Deinterlacer*	Remove motion artifacts by deinterlacing input video signal
vision.DeployableVideoPlayer*	Display video
vision.ForegroundDetector*	Foreground detection using Gaussian mixture models
vision.GammaCorrector*	Apply or remove gamma correction from images or video streams
vision.HistogramBasedTracker*	Histogram-based object tracking
vision.KalmanFilter*	Correction of measurement, state, and state estimation error covariance
vision.LocalMaximaFinder*	Find local maxima in matrices
vision.Maximum*	Find maximum values in input or sequence of inputs
vision.Mean*	Find mean values in input or sequence of inputs
vision.Median*	Find median values in input or sequence of inputs
vision.Minimum*	Find minimum values in input or sequence of inputs
vision.PeopleDetector*	Detect upright people using HOG features
vision.PointTracker*	Track points in video using Kanade-Lucas-Tomasi (KLT) algorithm
vision.StandardDeviation*	Find standard deviation values in input or sequence of inputs
vision.TemplateMatcher*	Locate template in image
vision.Variance*	Find variance values in input or sequence of inputs
vision.VideoFileReader*	Read video frames and audio samples from video file
vision.VideoFileWriter*	Write video frames and audio samples to video file