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» A Probabilistic Framework for Combining Tracking Algorithms
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CVPR
2008
IEEE
14 years 1 months ago
Visual quasi-periodicity
Periodicity is at the core of the recognition of many actions. This paper takes the following steps to detect and measure periodicity. 1) We establish a conceptual framework of cl...
Erik Pogalin, Arnold W. M. Smeulders, Andrew H. C....
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 8 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
IPMI
2005
Springer
14 years 7 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
IJCV
2007
146views more  IJCV 2007»
13 years 6 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
ICIP
2006
IEEE
14 years 8 months ago
Digital Reflection: Simulating the Mirroring Effect
This article presents an image-processing framework that permits replicating mirror reflection digitally in a natural way. We have adapted a known stereo blending technique to per...
Ana C. Andrés del Valle, Javier Cano Brabez...