A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Spatio-Temporal Stereo Using Multi-Resolution Subdivision Surfaces
International Journal of Computer Vision
International Journal of Computer Vision
Stereo Matching Using Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Unsupervised Learning of an Atlas from Unlabeled Point-Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Scale 3D Scene Flow from Binocular Stereo Sequences
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Image-based spatio-temporal modeling and view interpolation of dynamic events
ACM Transactions on Graphics (TOG)
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Multi-View AAM Fitting and Camera Calibration
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Capturing and animating skin deformation in human motion
ACM SIGGRAPH 2006 Papers
Capturing and animating occluded cloth
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2008 papers
An Effective Approach to 3D Deformable Surface Tracking
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
A Mixture of Transformed Hidden Markov Models for Elastic Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Learning compact hashing codes for efficient tag completion and prediction
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Weighted hashing for fast large scale similarity search
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Persistent tracking of static scene features using geometry
Computer Vision and Image Understanding
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Dense and markerless elastic 3D motion estimation based on stereo sequences is a challenge in computer vision. Solutions based on scene flow and 3D registration are mostly restricted to simple non-rigid motions, and suffer from the error accumulation. To address this problem, this paper proposes a globally optimal approach to non-rigid motion estimation which simultaneously recovers the 3D surface as well as its non-rigid motion over time. The instantaneous surface of the object is represented as a set of points which is reconstructed from the matched stereo images, meanwhile its deformation is captured by registering the points over time under spatio-temporal constraints. A global energy is defined on the constraints of stereo, spatial smoothness and temporal continuity, which is optimized via an iterative algorithm to approximate the minimum. Our extensive experiments on real video sequences including different facial expressions, cloth flapping, flag waves, etc. proved the robustness of our method and showed the method effectively handles complex nonrigid motions.