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» A Model-Driven Transformation Method
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CVPR
2003
IEEE
16 years 8 months ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
CVPR
2005
IEEE
16 years 8 months ago
Infomax Boosting
In this paper, we described an efficient feature pursuit scheme for boosting. The proposed method is based on the infomax principle, which seeks optimal feature that achieves maxi...
Siwei Lyu
CVPR
2005
IEEE
16 years 8 months ago
Coupled PDEs for Non-Rigid Registration and Segmentation
In this paper we present coupled partial differential equations (PDEs) for the problem of joint segmentation and registration. The registration component of the method estimates a...
Gozde B. Unal, Gregory G. Slabaugh
ICIP
2008
IEEE
16 years 8 months ago
Optical flow based tracking and retexturing of garments
In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with di...
Anna Hilsmann, Peter Eisert
ICIP
2005
IEEE
16 years 8 months ago
Simultaneous super-resolution for video sequences
In this work, we propose a new super-resolution algorithm to simultaneously estimate all frames of a video sequence. The new algorithm is based on the Bayesian maximum a posterior...
Joceli Mayer, Marcelo Victor Wüst Zibetti