A framework for low level feature extraction
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
International Journal of Computer Vision
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense Photometric Stereo Using Tensorial Belief Propagation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
International Journal of Computer Vision
Walk-Sums and Belief Propagation in Gaussian Graphical Models
The Journal of Machine Learning Research
On Linear Variational Surface Deformation Methods
IEEE Transactions on Visualization and Computer Graphics
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH 2008 papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D SSD tracking with estimated 3D planes
Image and Vision Computing
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Temporal Surface Tracking Using Mesh Evolution
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
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 duality based approach for realtime TV-L1 optical flow
Proceedings of the 29th DAGM conference on Pattern recognition
Marker-less 3D feature tracking for mesh-based human motion capture
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Dense motion and disparity estimation via loopy belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
3D scene flow estimation with a rigid motion prior
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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This article presents a novel method for estimating the dense three-dimensional motion of a scene from multiple cameras. Our method employs an interconnected patch model of the scene surfaces. The interconnected nature of the model means that we can incorporate prior knowledge about neighbouring scene motions through the use of a Markov Random Field, whilst the patch-based nature of the model allows the use of efficient techniques for estimating the local motion at each patch. An important aspect of our work is that the method takes account of the fact that local surface texture strongly dictates the accuracy of the motion that can be estimated at each patch. Even with simple squared-error cost functions, it produces results that are either equivalent to or better than results from a method based upon a state-of-the-art optical flow technique, which uses well-developed robust cost functions and energy minimisation techniques.