A Geometric Approach for Regularization of the Data Term in Stereo-Vision
Journal of Mathematical Imaging and Vision
Real-Time Neighborhood Based Disparity Estimation Incorporating Temporal Evidence
Proceedings of the 30th DAGM symposium on Pattern Recognition
Real-time joint disparity and disparity flow estimation on programmable graphics hardware
Computer Vision and Image Understanding
Temporal consistent real-time stereo for intelligent vehicles
Pattern Recognition Letters
Globally optimal 3d image reconstruction and segmentation via energy minimisation techniques
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Dense motion and disparity estimation via loopy belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Enforcing temporal consistency in real-time stereo estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Temporally consistent disparity and optical flow via efficient spatio-temporal filtering
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
A loop-consistency measure for dense correspondences in multi-view video
Image and Vision Computing
On the evaluation of scene flow estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
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We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data delity as well as spatial and temporal regularity. An iterated dynamic programming scheme is proposed to minimise the energy function. We also present an efficient implementation of the minimisation scheme by introducing morphological decomposition techniques to solve the dynamic programming subproblem. Our proposed method is capable of reconstructing dynamic scenes with complex motion. Results are presented demonstrating the strength of our proposed algorithm.