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ICMCS
2009
IEEE
215views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Image trimming via saliency region detection and iterative feature matching
Detection of saliency regions in images is useful for object based image understanding and object localization. In our work, we investigate a saliency region detection algorithm b...
Jiawei Huang, Ze-Nian Li
ACCV
2010
Springer
14 years 10 months ago
Real-Time Human Detection Using Relational Depth Similarity Features
Many conventional human detection methods use features based on gradients, such as histograms of oriented gradients (HOG), but human occlusions and complex backgrounds make accurat...
Sho Ikemura, Hironobu Fujiyoshi
PR
2000
120views more  PR 2000»
15 years 3 months ago
On internal representations in face recognition systems
This survey compares internal representations of the recent as well as more traditional face recognition techniques to classify them into several broad categories. The categories ...
Maxim A. Grudin
CVPR
2009
IEEE
2452views Computer Vision» more  CVPR 2009»
16 years 10 months ago
CHoG: Compressed Histogram of Gradients: A Low Bit-Rate Feature Descriptor
Establishing visual correspondences is an essential component of many computer vision problems, and is often done with robust, local feature-descriptors. Transmission and storag...
Vijay Chandrasekhar (Stanford University), Gabriel...
118
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ICPR
2004
IEEE
16 years 4 months ago
Multi-Class Extensions of the GLDB Feature Extraction Algorithm for Spectral Data
The Generalized Local Discriminant Bases (GLDB) algorithm proposed by Kumar, Ghosh and Crawford in [4], is a effective feature extraction method for spectral data. It identifies g...
Pavel Paclík, Robert P. W. Duin, Serguei Ve...