A new approach to image feature detection with applications

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Image feature detection is a fundamental issue in many intermediate level vision problems such as stereo, motion correspondence, image registration and object recognition. In this paper we present an approach to feature detection based on a scale-interaction model. This feature detector is responsive to short lines, line endings, corners and other such sharp changes in curvature. We provide extensive experimental results to demonstrate its potential applications to several image analysis problems.

论文关键词:Face recognition,Feature detection,Gabor filters,Image registration,Motion tracking

论文评审过程:Received 26 January 1995, Revised 21 June 1995, Accepted 11 August 1995, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(95)00115-8