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149
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SSIAI
2000
IEEE
15 years 8 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
TIT
2008
74views more  TIT 2008»
15 years 3 months ago
Optimal Parsing Trees for Run-Length Coding of Biased Data
Abstract-- We study coding schemes which encode unconstrained sequences into run-length-limited (d, k)-constrained sequences. We present a general framework for the construction of...
Sharon Aviran, Paul H. Siegel, Jack K. Wolf
126
Voted
ICCV
2007
IEEE
16 years 5 months ago
Optimization and Learning for Registration of Moving Dynamic Textures
We address the problem of registering a sequence of images in a moving dynamic texture video. This involves optimization with respect to camera motion, the average image, and the ...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
173
Voted
ICCV
2007
IEEE
16 years 5 months ago
A Variational Method for Scene Flow Estimation from Stereo Sequences
This paper presents a method for scene flow estimation from a calibrated stereo image sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-D...
Frederik Huguet, Frederic Devernay
MOBICOM
2009
ACM
15 years 10 months ago
A quorum-based framework for establishing control channels in dynamic spectrum access networks
Establishing a control channel for medium access control is a challenging problem in multi-channel and dynamic spectrum access (DSA) networks. In the design of multi-channel MAC p...
Kaigui Bian, Jung Min Park, Ruiliang Chen