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» Feature Selection for Pose Invariant Face Recognition
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CVPR
2005
IEEE
15 years 3 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICCV
2005
IEEE
15 years 11 months ago
Building a Classification Cascade for Visual Identification from One Example
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
WSCG
2004
212views more  WSCG 2004»
14 years 11 months ago
Face and Hands Segmentation in Color Images and Initial Matching with a Biomechanical Model
In this paper we describe a robust and efficient procedure to detect skin region with homogeneous color values in monocular indoor images. The mathematical background is a functio...
Jose Maria Buades Rubio, Manuel González Hi...
ECCV
2010
Springer
14 years 11 months ago
Image Invariants for Smooth Reflective Surfaces
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...
PAMI
2012
13 years 6 days ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...