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» Matching images more efficiently with local descriptors
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CVPR
2008
IEEE
14 years 7 months ago
A fast local descriptor for dense matching
We introduce a novel local image descriptor designed for dense wide-baseline matching purposes. We feed our descriptors to a graph-cuts based dense depth map estimation algorithm ...
Engin Tola, Vincent Lepetit, Pascal Fua
ICIP
2007
IEEE
14 years 7 months ago
A New Descriptor for 2D Depth Image Indexing and 3D Model Retrieval
We present here a new descriptor for depth images adapted to 2D/3D model matching and retrieving. We propose a representation of a 3D model by 20 depth images rendered from the ve...
Mohamed Chaouch, Anne Verroust-Blondet
CVPR
2005
IEEE
14 years 7 months ago
A SIFT Descriptor with Global Context
Matching points between multiple images of a scene is a vital component of many computer vision tasks. Point matching involves creating a succinct and discriminative descriptor fo...
Eric N. Mortensen, Hongli Deng, Linda G. Shapiro
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 5 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
13 years 11 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang