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» Using Top-Points as Interest Points for Image Matching
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CVPR
2007
IEEE
14 years 10 months ago
Image Matching via Saliency Region Correspondences
We introduce the notion of co-saliency for image matching. Our matching algorithm combines the discriminative power of feature correspondences with the descriptive power of matchi...
Alexander Toshev, Jianbo Shi, Kostas Daniilidis
CVPR
2012
IEEE
11 years 11 months ago
Scale resilient, rotation invariant articulated object matching
A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
3DGIS
2006
Springer
14 years 2 months ago
Texture Generation and Mapping Using Video Sequences for 3D Building Models
Abstract Three-dimensional (3D) building model is one of the most important components in a cyber city implementation and application. This study developed an effective and highly ...
Fuan Tsai, Cheng-Hsuan Chen, Jin-Kim Liu, Kuo-Hsin...
DAGSTUHL
2006
13 years 10 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
CVPR
2004
IEEE
14 years 15 days ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid