Stereo Matching with Nonlinear Diffusion
International Journal of Computer Vision
A Space-Sweep Approach to True Multi-Image Matching
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
SMBV '01 Proceedings of the IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV'01)
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Improved Real-Time Stereo on Commodity Graphics Hardware
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enforcing temporal consistency in real-time stereo estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Phase-Correlation Guided Search for Realtime Stereo Vision
IWCIA '09 Proceedings of the 13th International Workshop on Combinatorial Image Analysis
On the evaluation of scene flow estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
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This paper presents a system for dense area based disparity estimation from binocular rectified image sequences with the integration of temporal evidence. The system is using dense 2D optical flow fields and timely displaced disparity estimates to reason about the observed 3D scene flow. This scene flow is then exploited to strengthen timely consistent observations in the disparity estimation. Moreover a novel neighborhood assumption is presented, which allows to seamlessly implement the presented algorithm on the GPU. It is shown that by means of the presented approach the sensitivity to noise and ambiguities observed with plain real-time disparity estimations can be improved, even in fully dynamic scenarios with simultaneous movement of objects and cameras.