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» Non-Abelian invariant feature detection
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CVPR
2004
IEEE
16 years 8 months ago
Video Data Mining Using Configurations of Viewpoint Invariant Regions
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
Josef Sivic, Andrew Zisserman
3DIM
2011
IEEE
14 years 6 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
FGR
2011
IEEE
241views Biometrics» more  FGR 2011»
14 years 10 months ago
Emotion recognition from an ensemble of features
— This work details the authors’ efforts to push the baseline of expression recognition performance on a realistic database. Both subject-dependent and subject-independent emot...
Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zha...
ICPR
2006
IEEE
16 years 7 months ago
A Viewpoint Invariant Approach for Crowd Counting
This paper describes a viewpoint invariant learningbased method for counting people in crowds from a single camera. Our method takes into account feature normalization to deal wit...
Dan Kong, Douglas Gray, Hai Tao
AAAI
2007
15 years 9 months ago
Detection of Multiple Deformable Objects using PCA-SIFT
In this paper, we address the problem of identifying and localizing multiple instances of highly deformable objects in real-time video data. We present an approach which uses PCA-...
Stefan Zickler, Alexei A. Efros