Stereo Matching with Nonlinear Diffusion
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Stereo Algorithms
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Efficient Stereo with Multiple Windowing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Simple Stereo Algorithm to Recover Precise Object Boundaries and Smooth Surfaces
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
A correlation-based approach for real-time stereo matching
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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In order to minimize boundary overreach, we propose a new stereo matching algorithm for sharp and dense disparity maps for color and gray-level stereo images using adaptive multiple windows. In the proposed method, we consider left-right consistency and unique constraint. Experimental results demonstrate that our algorithm produces sharp and dense disparity maps for color and gray-level stereo image pairs. We point out the disposition order problem of multiple windows and introduce window maps to indicate which window is selected among multiple windows.