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ECCV
2008
Springer
16 years 1 months ago
Search Space Reduction for MRF Stereo
We present an algorithm to reduce per-pixel search ranges for Markov Random Fields-based stereo algorithms. Our algorithm is based on the intuitions that reliably matched pixels ne...
Liang Wang, Hailin Jin, Ruigang Yang
ECCV
2006
Springer
16 years 1 months ago
Differential Geometric Consistency Extends Stereo to Curved Surfaces
Abstract. Traditional stereo algorithms implicitly use the frontal parallel plane assumption when exploiting contextual information, since the smoothness prior biases towards const...
Gang Li, Steven W. Zucker
ECCV
2006
Springer
16 years 1 months ago
Dense Photometric Stereo by Expectation Maximization
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
Tai-Pang Wu, Chi-Keung Tang
ACCV
1998
Springer
15 years 4 months ago
Automatic Detection and Tracking of Human Heads Using an Active Stereo Vision System
A head tracking system for automatically detecting and tracking human heads in complex backgrounds is developed. In this paper, two issues are addressed: the detection ofhumanhead...
Cheng-Yuan Tang, Yi-Ping Hung, Zen Chen
IJCV
2000
225views more  IJCV 2000»
14 years 11 months ago
Depth from Defocus vs. Stereo: How Different Really Are They?
Depth from Focus (DFF) and Depth from Defocus (DFD) methods are theoretically unified with the geometric triangulation principle. Fundamentally, the depth sensitivities of DFF and ...
Yoav Y. Schechner, Nahum Kiryati