SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Using models of feature perception in distortion measure guidance
Pattern Recognition Letters
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multi-scale cortical keypoint representation for attention and object detection
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Multi-scale keypoints in v1 and face detection
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Comparison of texture features based on Gabor filters
IEEE Transactions on Image Processing
Contour detection based on nonclassical receptive field inhibition
IEEE Transactions on Image Processing
Multiscale Corner Detection of Gray Level Images Based on Log-Gabor Wavelet Transform
IEEE Transactions on Circuits and Systems for Video Technology
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Keypoints are important features in the perceptual system of humans. They provide important information for focus-of-attention (FoA) and object categorization/recognition. Different types of keypoints have been used in computer vision applications. In this paper, we propose a method which extracts "salient" points in the meaning of biological vision by utilizing the multi-scale Gabor energy operator. The resulting operator responds strongly to corners, isolated lines, edges, and contours. And with the increase of scale, the extracted keypoints tend to illustrate important structures of the image. We show that the Gabor energy map provides very useful information of a saliency map for FoA and object recognition.