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» Joint Feature Distributions for Image Correspondence
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ICIP
2008
IEEE
16 years 1 months ago
Kernel-based high-dimensional histogram estimation for visual tracking
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters suc...
Allen Tannenbaum, James G. Malcolm, Peter Karasev
IPMI
2005
Springer
16 years 16 days ago
Bayesian Population Modeling of Effective Connectivity
Abstract. A hierarchical model based on the Multivariate Autoregessive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to ...
Eric R. Cosman Jr., William M. Wells III
FGR
2006
IEEE
179views Biometrics» more  FGR 2006»
15 years 5 months ago
Articulated Hand Tracking by PCA-ICA Approach
—This paper introduces a new representation of hand motions for tracking and recognizing hand-finger gestures in an image sequence. A human hand has many joints, for example our ...
Makoto Kato, Yen-Wei Chen, Gang Xu
ICCV
2003
IEEE
16 years 1 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
CVPR
2012
IEEE
13 years 2 months ago
Unsupervised co-segmentation through region matching
Co-segmentation is defined as jointly partitioning multiple images depicting the same or similar object, into foreground and background. Our method consists of a multiplescale mu...
José C. Rubio, Joan Serrat, Antonio M. L&oa...