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» On the design of robust classifiers for computer vision
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ICCV
2001
IEEE
14 years 9 months ago
Articulated Soft Objects for Video-based Body Modeling
We develop a framework for 3?D shape and motion recovery of articulated deformable objects. We propose a formalism that incorporates the use of implicit surfaces into earlier robo...
Pascal Fua, Ralf Plänkers
ICCV
2003
IEEE
14 years 9 months ago
Two-Frame Wide Baseline Matching
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
Jiangjian Xiao, Mubarak Shah
ICPR
2008
IEEE
14 years 8 months ago
Separability of ternary Error-Correcting Output Codes
Error Correcting Output Codes (ECOC) represent a successful framework to deal with multi-class categorization problems based on combining binary classifiers. In this paper, we pre...
Oriol Pujol, Petia Radeva, Sergio Escalera
ICPR
2004
IEEE
14 years 8 months ago
An Efficient Automatic Redeye Detection and Correction Algorithm
A fully automatic redeye detection and correction algorithm is presented to address the redeye artifacts in digital photos. The algorithm contains a redeye detection part and a co...
Dan Tretter, Huitao Luo, Jonathan Yen
ICCV
2011
IEEE
12 years 7 months ago
HMDB: A Large Video Database for Human Motion Recognition
With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted ...
Hildegard Kuehne, Hueihan Jhuang, Estibaliz Garrot...