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» On the design of robust classifiers for computer vision
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ICIP
2007
IEEE
14 years 1 months ago
Dominant Sets-Based Action Recognition using Image Sequence Matching
Action recognition is one of the most active research fields in computer vision. In this paper, we propose a novel method for classifying human actions in a series of image seque...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Guan Luo
ACCV
2009
Springer
14 years 6 days ago
Extracting Spatio-temporal Local Features Considering Consecutiveness of Motions
Recently spatio-temporal local features have been proposed as image features to recognize events or human actions in videos. In this paper, we propose yet another local spatio-temp...
Akitsugu Noguchi, Keiji Yanai
CVPR
2006
IEEE
14 years 9 months ago
A Projective Invariant for Textures
Image texture analysis has received a lot of attention in the past years. Researchers have developed many texture signatures based on texture measurements, for the purpose of uniq...
Cornelia Fermüller, Hui Ji, Yong Xu
ICCV
2007
IEEE
14 years 9 months ago
N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation
In this paper, a new approach for object detection and pose estimation is introduced. The contribution consists in the conception of entities permitting stable detection and relia...
Stefan Hinterstoisser, Selim Benhimane, Nassir Nav...
ICCV
2007
IEEE
14 years 1 months ago
A Multi-Image Restoration Method for Image Reconstruction from Projections
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...