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» Matching images more efficiently with local descriptors
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CVPR
2004
IEEE
14 years 9 months ago
Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
We propose a novel approach to point matching under large viewpoint and illumination changes that is suitable for accurate object pose estimation at a much lower computational cos...
Vincent Lepetit, Julien Pilet, Pascal Fua
MM
2004
ACM
99views Multimedia» more  MM 2004»
14 years 29 days ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
MM
2006
ACM
250views Multimedia» more  MM 2006»
14 years 1 months ago
Effective and efficient object-based image retrieval using visual phrases
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual p...
Qing-Fang Zheng, Wei-Qiang Wang, Wen Gao
CVPR
2005
IEEE
14 years 9 months ago
Object Detection Using 2D Spatial Ordering Constraints
Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
Yan Li, Yanghai Tsin, Yakup Genc, Takeo Kanade
CVPR
2005
IEEE
14 years 9 months ago
Coherent Regions for Concise and Stable Image Description
We present a new method for summarizing images for the purposes of matching and registration. We take the point of view that large, coherent regions in the image provide a concise...
Jason J. Corso, Gregory D. Hager