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Fix typos in calibinit.cpp

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This commit is contained in:
MaximSmolskiy 2023-11-21 09:34:54 +03:00
parent 16928806f9
commit a57ea2b775
1 changed files with 5 additions and 5 deletions
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modules/calib3d/src/calibinit.cpp
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@ -46,7 +46,7 @@
Here is the copyright notice from the original Vladimir's code: Here is the copyright notice from the original Vladimir's code:
=============================================================== ===============================================================
The algorithms developed and implemented by Vezhnevets Vldimir The algorithms developed and implemented by Vezhnevets Vladimir
aka Dead Moroz (vvp@graphics.cs.msu.ru) aka Dead Moroz (vvp@graphics.cs.msu.ru)
See http://graphics.cs.msu.su/en/research/calibration/opencv.html See http://graphics.cs.msu.su/en/research/calibration/opencv.html
for detailed information. for detailed information.
@ -54,7 +54,7 @@
Reliability additions and modifications made by Philip Gruebele. Reliability additions and modifications made by Philip Gruebele.
<a href="mailto:pgruebele@cox.net">pgruebele@cox.net</a> <a href="mailto:pgruebele@cox.net">pgruebele@cox.net</a>
Some further improvements for detection of partially ocluded boards at non-ideal Some further improvements for detection of partially occluded boards at non-ideal
lighting conditions have been made by Alex Bovyrin and Kurt Kolonige lighting conditions have been made by Alex Bovyrin and Kurt Kolonige
\************************************************************************************/ \************************************************************************************/
@ -325,7 +325,7 @@ static void icvGradientOfHistogram256(const ArrayContainer& piHist, ArrayContain
piHistGrad[255] = 0; piHistGrad[255] = 0;
} }
/***************************************************************************************************/ /***************************************************************************************************/
//PERFORM SMART IMAGE THRESHOLDING BASED ON ANALYSIS OF INTENSTY HISTOGRAM //PERFORM SMART IMAGE THRESHOLDING BASED ON ANALYSIS OF INTENSITY HISTOGRAM
static void icvBinarizationHistogramBased(Mat & img) static void icvBinarizationHistogramBased(Mat & img)
{ {
CV_Assert(img.channels() == 1 && img.depth() == CV_8U); CV_Assert(img.channels() == 1 && img.depth() == CV_8U);
@ -671,7 +671,7 @@ bool findChessboardCorners(InputArray image_, Size pattern_size,
// of the neighbor corners in the same row/column. // of the neighbor corners in the same row/column.
// //
// This function has been created as temporary workaround for the bug in current implementation // This function has been created as temporary workaround for the bug in current implementation
// of cvFindChessboardCornes that produces absolutely unordered sets of corners. // of cvFindChessboardCorners that produces absolutely unordered sets of corners.
// //
bool ChessBoardDetector::checkBoardMonotony(const std::vector<cv::Point2f>& corners) bool ChessBoardDetector::checkBoardMonotony(const std::vector<cv::Point2f>& corners)
{ {
@ -1213,7 +1213,7 @@ int ChessBoardDetector::cleanFoundConnectedQuads(std::vector<ChessBoardQuad*>& q
// We iteratively remove the point which reduces the size of // We iteratively remove the point which reduces the size of
// the bounding box of the blobs the most // the bounding box of the blobs the most
// (since we want the rectangle to be as small as possible) // (since we want the rectangle to be as small as possible)
// remove the quadrange that causes the biggest reduction // remove the quadrangle that causes the biggest reduction
// in pattern size until we have the correct number // in pattern size until we have the correct number
for (; quad_count > count; quad_count--) for (; quad_count > count; quad_count--)
{ {