Three-view dense disparity estimation with occlusion detection
Xiaodong Huang
Dubois, E.
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada;
This paper appears in: Image Processing, 2005. ICIP 2005. IEEE International Conference on
Publication Date: 11-14 Sept. 2005
Volume: 3,
On page(s): III- 393-6
ISBN: 0-7803-9134-9
INSPEC Accession Number: 8845691
Digital Object Identifier: 10.1109/ICIP.2005.1530411
Current Version Published: 2006-03-27
Abstract
An algorithm for disparity estimation with energy-based variational regularization using three image views is presented. In the new algorithm, dense disparity maps, including the disparity values for feature points, are first estimated by phase-based methods. Then a set of coupled partial differential equations (PDEs) are solved to refine these disparity maps together with the feature information. The visual appearance of the refined disparity is better than that of the results using similar variational regularization involving only one stereo pair of images. In addition, a new effective occlusion detection scheme is presented with good results.
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