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» Efficient use of local edge histogram descriptor
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CVPR
2004
IEEE
14 years 10 months ago
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently eva...
Yan Ke, Rahul Sukthankar
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 8 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...
CEE
2010
119views more  CEE 2010»
13 years 8 months ago
Block-matching-based motion field generation utilizing directional edge displacement
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
Hitoshi Hayakawa, Tadashi Shibata
ECCV
2010
Springer
14 years 27 days ago
Using Partial Edge Contour Matches for Efficient Object Category Localization
Abstract. We propose a method for object category localization by partially matching edge contours to a single shape prototype of the category. Previous work in this area either re...
Hayko Riemenschneider, Michael Donoser, and Horst ...
ICB
2009
Springer
226views Biometrics» more  ICB 2009»
14 years 3 months ago
Accurate Palmprint Recognition Using Spatial Bags of Local Layered Descriptors
Abstract. State-of-the-art palmprint recognition algorithms achieve high accuracy based on component based texture analysis. However, they are still sensitive to local variations o...
Yufei Han, Tieniu Tan, Zhenan Sun