ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
An Algorithm for Total Variation Minimization and Applications
Journal of Mathematical Imaging and Vision
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
International Journal of Computer Vision
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
A robust approach for ego-motion estimation using a mobile stereo platform
IWCM'04 Proceedings of the 1st international conference on Complex motion
A duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
6D-vision: fusion of stereo and motion for robust environment perception
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Dense estimation and object-based segmentation of the optical flow with robust techniques
IEEE Transactions on Image Processing
Probabilistic multi-class scene flow segmentation for traffic scenes
Proceedings of the 32nd DAGM conference on Pattern recognition
Evaluation of a new coarse-to-fine strategy for fast semi-global stereo matching
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Go with the flow: hand trajectories in 3d via clustered scene flow
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
A tensor voting approach for multi-view 3d scene flow estimation and refinement
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Adasens advanced driver assistance systems live demo
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
On the evaluation of scene flow estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
CYKLS: detect pedestrian's dart focusing on an appearance change
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Consistent Binocular Depth and Scene Flow with Chained Temporal Profiles
International Journal of Computer Vision
International Journal of Computer Vision
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In this paper a novel approach for estimating the three dimensional motion field of the visible world from stereo image sequences is proposed. This approach combines dense variational optical flow estimation, including spatial regularization, with Kalman filtering for temporal smoothness and robustness. The result is a dense, robust, and accurate reconstruction of the three-dimensional motion field of the current scene that is computed in real-time. Parallel implementation on a GPU and an FPGA yields a vision-system which is directly applicable in real-world scenarios, like automotive driver assistance systems or in the field of surveillance. Within this paper we systematically show that the proposed algorithm is physically motivated and that it outperforms existing approaches with respect to computation time and accuracy.