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OpenCV
3.0.0-rc1
Open Source Computer Vision
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Classes | |
| class | cv::xfeatures2d::AgastFeatureDetector |
| Wrapping class for feature detection using the AGAST method. : More... | |
| class | cv::xfeatures2d::BriefDescriptorExtractor |
| Class for computing BRIEF descriptors described in [22] . More... | |
| class | cv::xfeatures2d::FREAK |
| Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [3] . More... | |
| class | cv::xfeatures2d::LUCID |
| Class implementing the locally uniform comparison image descriptor, described in [142]. More... | |
| class | cv::xfeatures2d::StarDetector |
| The class implements the keypoint detector introduced by [1], synonym of StarDetector. : More... | |
Functions | |
| void | cv::xfeatures2d::AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true) |
| void | cv::xfeatures2d::AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, int type) |
| Detects corners using the AGAST algorithm. More... | |
This section describes experimental algorithms for 2d feature detection.
| void cv::xfeatures2d::AGAST | ( | InputArray | image, |
| std::vector< KeyPoint > & | keypoints, | ||
| int | threshold, | ||
| bool | nonmaxSuppression = true |
||
| ) |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
| void cv::xfeatures2d::AGAST | ( | InputArray | image, |
| std::vector< KeyPoint > & | keypoints, | ||
| int | threshold, | ||
| bool | nonmaxSuppression, | ||
| int | type | ||
| ) |
Detects corners using the AGAST algorithm.
| image | grayscale image where keypoints (corners) are detected. |
| keypoints | keypoints detected on the image. |
| threshold | threshold on difference between intensity of the central pixel and pixels of a circle around this pixel. |
| nonmaxSuppression | if true, non-maximum suppression is applied to detected corners (keypoints). |
| type | one of the four neighborhoods as defined in the paper: AgastFeatureDetector::AGAST_5_8, AgastFeatureDetector::AGAST_7_12d, AgastFeatureDetector::AGAST_7_12s, AgastFeatureDetector::OAST_9_16 |
Detects corners using the AGAST algorithm by [81] .
1.8.7