Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
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International Journal of Computer Vision
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Pattern Recognition Letters
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Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
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International Journal of Computer Vision
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Pattern Recognition Letters
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Image and Vision Computing
Technical Section: Corner detection by sliding rectangles along planar curves
Computers and Graphics
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust image corner detection based on scale evolution difference of planar curves
Pattern Recognition Letters
Corner detection and curve segmentation by multiresolution chain-code linking
Pattern Recognition
Robust Image Corner Detection Based on the Chord-to-Point Distance Accumulation Technique
IEEE Transactions on Multimedia
Multiscale corner detection by using wavelet transform
IEEE Transactions on Image Processing
Multiscale Corner Detection in Planar Shapes
Journal of Mathematical Imaging and Vision
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An efficient and novel technique is developed for detecting and localizing corners of planar curves. This paper discusses the gradient feature distribution of planar curves and constructs gradient correlation matrices (GCMs) over the region of support (ROS) of these planar curves. It is shown that the eigen-structure and determinant of the GCMs encode the geometric features of these curves, such as curvature features and the dominant points. The determinant of the GCMs is shown to have a strong corner response, and is used as a ''cornerness'' measure of planar curves. A comprehensive performance evaluation of the proposed detector is performed, using the ACU and localization error criteria. Experimental results demonstrate that the GCM detector has a strong corner position response, along with a high detection rate and good localization performance.