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17 years 3 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
1131views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Continuous Depth Estimation for Multi-view Stereo
Depth-map merging approaches have become more and more popular in multi-view stereo (MVS) because of their flexibility and superior performance. The quality of depth map used fo...
Yebin Liu (Tsinghua University), Xun Cao (Tsinghu...
CVPR
2003
IEEE
16 years 6 months ago
Spacetime Stereo: Shape Recovery for Dynamic Scenes
This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of imag...
Li Zhang, Brian Curless, Steven M. Seitz
CVPR
2008
IEEE
16 years 6 months ago
Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences
The paper addresses the problem of factorization-based 3D reconstruction from uncalibrated image sequences. We propose a quasi-perspective projection model and apply the model to ...
Guanghui Wang, Q. M. Jonathan Wu, Guoqiang Sun
ECCV
2006
Springer
16 years 6 months ago
Generalized Multi-sensor Planning
Abstract. Vision systems for various tasks are increasingly being deployed. Although significant effort has gone into improving the algorithms for such tasks, there has been relati...
Anurag Mittal