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SSIAI
2000
IEEE
15 years 5 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 1 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
ICCV
2007
IEEE
16 years 3 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
ICCV
2007
IEEE
16 years 3 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 7 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