Geometric blur for template matching

被引：0

作者：

Berg, AC ^{[1
]}

Malik, J ^{[1
]}

机构：

[1] Univ Calif Berkeley, Div Comp Sci, Berkeley, CA 94720 USA

来源：

2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We address the problem of finding point correspondences in images by way of an approach to template matching that is robust under affine distortions. This is achieved by applying "geometric blur" to both the template and the image, resulting in a fall-off in similarity that is close to linear in the norm of the distortion between the template and the image. Results in wide baseline stereo correspondence, face detection, and feature correspondence are included.

引用

页码：607 / 614

页数：8

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