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» A novel local feature descriptor for image matching
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MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 11 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...
CVPR
2010
IEEE
13 years 8 months ago
Global and local isometry-invariant descriptor for 3D shape comparison and partial matching
In this paper, based on manifold harmonics, we propose a novel framework for 3D shape similarity comparison and partial matching. First, we propose a novel symmetric meanvalue rep...
Huai-Yu Wu, Hongbin Zha, Tao Luo, Xulei Wang, Song...
CVPR
2008
IEEE
15 years 27 days 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
PCM
2010
Springer
143views Multimedia» more  PCM 2010»
13 years 9 months ago
Robust Shape Retrieval through a Novel Statistical Descriptor
We propose a novel statistical descriptor, Multiple References Histogram Matrix (MRHM), for robust shape retrieval, especially for degraded shape images. For each shape image, MRHM...
Tuantuan Wang, Tong Lu, Wenyin Liu
CVPR
2007
IEEE
15 years 27 days ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown