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» Detecting Occlusion for Hidden Markov Modeled Shapes
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CVPR
2011
IEEE
13 years 6 months ago
2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...
Y. Cao, Z. Zhang, I. Czogiel, I. Dryden, S. Wang
CVPR
2007
IEEE
15 years 26 days ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
CVPR
2007
IEEE
15 years 26 days ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
TCSV
2010
13 years 5 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recog...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
NAR
2006
74views more  NAR 2006»
13 years 10 months ago
HHrep: de novo protein repeat detection and the origin of TIM barrels
HHrep is a web server for the de novo identification of repeats in protein sequences, which is based on the pairwise comparison of profile hidden Markov models (HMMs). Its main st...
Johannes Söding, Michael Remmert, Andreas Bie...