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SSIAI
2000
IEEE
13 years 11 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
CVPR
2004
IEEE
13 years 11 months ago
Motion Without Correspondence from Tomographic Projections by Bayesian Inversion Theory
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Sami S. Brandt, Ville Kolehmainen
IJCV
1998
105views more  IJCV 1998»
13 years 7 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
ISCAS
2006
IEEE
96views Hardware» more  ISCAS 2006»
14 years 1 months ago
In-scale motion aligned temporal filtering
— To handle the mismatch problems of spatial-domain motion aligned temporal filtering (MATF) in providing spatial scalability, this paper presents a novel in-scale motion aligne...
Ruiqin Xiong, Jizheng Xu, Feng Wu, Shipeng Li
ICIP
2006
IEEE
14 years 9 months ago
Prioritized Sequential 3D Reconstruction in Video Sequences with Multiple Motions
In this study, an algorithm is proposed to solve the multi-frame structure from motion (MFSfM) problem for monocular video sequences in dynamic scenes. The algorithm uses the epip...
Evren Imre, Sebastian Knorr, A. Aydin Alatan, Thom...