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Merge pull request #2509 from AjitPant:aruco-doc-bug

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Alexander Alekhin
2020-04-24 17:20:46 +00:00
parent e92cbd0432 865aef83d0
commit e5f36d65fd
1 changed files with 11 additions and 11 deletions
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22
modules/aruco/include/opencv2/aruco.hpp
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@@ -99,7 +99,7 @@ enum CornerRefineMethod{
* - maxMarkerPerimeterRate: determine maximum perimeter for marker contour to be detected. This * - maxMarkerPerimeterRate: determine maximum perimeter for marker contour to be detected. This
* is defined as a rate respect to the maximum dimension of the input image (default 4.0). * is defined as a rate respect to the maximum dimension of the input image (default 4.0).
* - polygonalApproxAccuracyRate: minimum accuracy during the polygonal approximation process to * - polygonalApproxAccuracyRate: minimum accuracy during the polygonal approximation process to
* determine which contours are squares. * determine which contours are squares. (default 0.03)
* - minCornerDistanceRate: minimum distance between corners for detected markers relative to its * - minCornerDistanceRate: minimum distance between corners for detected markers relative to its
* perimeter (default 0.05) * perimeter (default 0.05)
* - minDistanceToBorder: minimum distance of any corner to the image border for detected markers * - minDistanceToBorder: minimum distance of any corner to the image border for detected markers
@@ -109,7 +109,7 @@ enum CornerRefineMethod{
* of the two markers (default 0.05). * of the two markers (default 0.05).
* - cornerRefinementMethod: corner refinement method. (CORNER_REFINE_NONE, no refinement. * - cornerRefinementMethod: corner refinement method. (CORNER_REFINE_NONE, no refinement.
* CORNER_REFINE_SUBPIX, do subpixel refinement. CORNER_REFINE_CONTOUR use contour-Points, * CORNER_REFINE_SUBPIX, do subpixel refinement. CORNER_REFINE_CONTOUR use contour-Points,
* CORNER_REFINE_APRILTAG use the AprilTag2 approach) * CORNER_REFINE_APRILTAG use the AprilTag2 approach). (default CORNER_REFINE_NONE)
* - cornerRefinementWinSize: window size for the corner refinement process (in pixels) (default 5). * - cornerRefinementWinSize: window size for the corner refinement process (in pixels) (default 5).
* - cornerRefinementMaxIterations: maximum number of iterations for stop criteria of the corner * - cornerRefinementMaxIterations: maximum number of iterations for stop criteria of the corner
* refinement process (default 30). * refinement process (default 30).
@@ -117,7 +117,7 @@ enum CornerRefineMethod{
* process (default: 0.1) * process (default: 0.1)
* - markerBorderBits: number of bits of the marker border, i.e. marker border width (default 1). * - markerBorderBits: number of bits of the marker border, i.e. marker border width (default 1).
* - perspectiveRemovePixelPerCell: number of bits (per dimension) for each cell of the marker * - perspectiveRemovePixelPerCell: number of bits (per dimension) for each cell of the marker
* when removing the perspective (default 8). * when removing the perspective (default 4).
* - perspectiveRemoveIgnoredMarginPerCell: width of the margin of pixels on each cell not * - perspectiveRemoveIgnoredMarginPerCell: width of the margin of pixels on each cell not
* considered for the determination of the cell bit. Represents the rate respect to the total * considered for the determination of the cell bit. Represents the rate respect to the total
* size of the cell, i.e. perspectiveRemovePixelPerCell (default 0.13) * size of the cell, i.e. perspectiveRemovePixelPerCell (default 0.13)
@@ -129,21 +129,21 @@ enum CornerRefineMethod{
* than 128 or not) (default 5.0) * than 128 or not) (default 5.0)
* - errorCorrectionRate error correction rate respect to the maximun error correction capability * - errorCorrectionRate error correction rate respect to the maximun error correction capability
* for each dictionary. (default 0.6). * for each dictionary. (default 0.6).
* - aprilTagMinClusterPixels: reject quads containing too few pixels. * - aprilTagMinClusterPixels: reject quads containing too few pixels. (default 5)
* - aprilTagMaxNmaxima: how many corner candidates to consider when segmenting a group of pixels into a quad. * - aprilTagMaxNmaxima: how many corner candidates to consider when segmenting a group of pixels into a quad. (default 10)
* - aprilTagCriticalRad: Reject quads where pairs of edges have angles that are close to straight or close to * - aprilTagCriticalRad: Reject quads where pairs of edges have angles that are close to straight or close to
* 180 degrees. Zero means that no quads are rejected. (In radians). * 180 degrees. Zero means that no quads are rejected. (In radians) (default 10*PI/180)
* - aprilTagMaxLineFitMse: When fitting lines to the contours, what is the maximum mean squared error * - aprilTagMaxLineFitMse: When fitting lines to the contours, what is the maximum mean squared error
* allowed? This is useful in rejecting contours that are far from being quad shaped; rejecting * allowed? This is useful in rejecting contours that are far from being quad shaped; rejecting
* these quads "early" saves expensive decoding processing. * these quads "early" saves expensive decoding processing. (default 10.0)
* - aprilTagMinWhiteBlackDiff: When we build our model of black & white pixels, we add an extra check that * - aprilTagMinWhiteBlackDiff: When we build our model of black & white pixels, we add an extra check that
* the white model must be (overall) brighter than the black model. How much brighter? (in pixel values, [0,255]). * the white model must be (overall) brighter than the black model. How much brighter? (in pixel values, [0,255]). (default 5)
* - aprilTagDeglitch: should the thresholded image be deglitched? Only useful for very noisy images * - aprilTagDeglitch: should the thresholded image be deglitched? Only useful for very noisy images. (default 0)
* - aprilTagQuadDecimate: Detection of quads can be done on a lower-resolution image, improving speed at a * - aprilTagQuadDecimate: Detection of quads can be done on a lower-resolution image, improving speed at a
* cost of pose accuracy and a slight decrease in detection rate. Decoding the binary payload is still * cost of pose accuracy and a slight decrease in detection rate. Decoding the binary payload is still
* done at full resolution. * done at full resolution. (default 0.0)
* - aprilTagQuadSigma: What Gaussian blur should be applied to the segmented image (used for quad detection?) * - aprilTagQuadSigma: What Gaussian blur should be applied to the segmented image (used for quad detection?)
* Parameter is the standard deviation in pixels. Very noisy images benefit from non-zero values (e.g. 0.8). * Parameter is the standard deviation in pixels. Very noisy images benefit from non-zero values (e.g. 0.8). (default 0.0)
* - detectInvertedMarker: to check if there is a white marker. In order to generate a "white" marker just * - detectInvertedMarker: to check if there is a white marker. In order to generate a "white" marker just
* invert a normal marker by using a tilde, ~markerImage. (default false) * invert a normal marker by using a tilde, ~markerImage. (default false)
*/ */