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» Object Recognition from Local Scale-Invariant Features
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CVPR
2004
IEEE
15 years 11 months ago
Learning Object Detection from a Small Number of Examples: The Importance of Good Features
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
Kobi Levi, Yair Weiss
AVBPA
2001
Springer
115views Biometrics» more  AVBPA 2001»
15 years 2 months ago
Visual Categorization of Children and Adult Walking Styles
We present an approach for visual discrimination of children from adults in video using characteristic regularities present in their locomotion patterns. The framework employs comp...
James W. Davis
PR
2007
148views more  PR 2007»
14 years 9 months ago
Learning the best subset of local features for face recognition
We propose a novel, local feature-based face representation method based on twostage subset selection where the first stage finds the informative regions and the second stage ...
Berk Gökberk, M. Okan Irfanoglu, Lale Akarun,...
ICCV
2011
IEEE
13 years 9 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
CVPR
2011
IEEE
14 years 1 months ago
Boosted Local Structured HOG-LBP for Object Localization
Object localization is a challenging problem due to variations in object’s structure and illumination. Although existing part based models have achieved impressive progress in t...
Junge Zhang, Kaiqi Huang, Tieniu Tan