2D/3D freeview video generation for 3DTV system
Image Communication
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
An asymmetric post-processing for correspondence problem
Image Communication
Local stereo matching using geodesic support weights
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
High-level synthesis: productivity, performance, and software constraints
Journal of Electrical and Computer Engineering - Special issue on ESL Design Methodology
3D modelling of static environments using multiple spherical stereo
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Occlusion filling in stereo: Theory and experiments
Computer Vision and Image Understanding
Hierarchical stereo matching based on image bit-plane slicing
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Proceedings of the 4th ACM Multimedia Systems Conference
3D Scene Reconstruction from Multiple Spherical Stereo Pairs
International Journal of Computer Vision
Information permeability for stereo matching
Image Communication
Stereo/multiview picture quality: Overview and recent advances
Image Communication
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This paper presents a novel method for cost aggregation and occlusion handling for stereo matching. In order to estimate optimal cost, given a per-pixel difference image as observed data, we define an energy function and solve the minimization problem by solving the iterative equation with the numerical method. We improve performance and increase the convergence rate by using several acceleration techniques such as the Gauss-Seidel method, the multiscale approach, and adaptive interpolation. The proposed method is computationally efficient since it does not use color segmentation or any global optimization techniques. For occlusion handling, which has not been performed effectively by any conventional cost aggregation approaches, we combine the occlusion problem with the proposed minimization scheme. Asymmetric information is used so that few additional computational loads are necessary. Experimental results show that performance is comparable to that of many state-of-the-art methods. The proposed method is in fact the most successful among all cost aggregation methods based on standard stereo test beds.