SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Semi-regular mesh extraction from volumes
Proceedings of the conference on Visualization '00
Continuous capture of skin deformation
ACM SIGGRAPH 2003 Papers
Spacetime-Coherent Geometry Reconstruction from Multiple Video Streams
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape-From-Silhouette Across Time Part I: Theory and Algorithms
International Journal of Computer Vision
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
A convenient multicamera self-calibration for virtual environments
Presence: Teleoperators and Virtual Environments
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
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
Analysis of Head Gesture and Prosody Patterns for Prosody-Driven Head-Gesture Animation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Temporal Surface Tracking Using Mesh Evolution
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Shape from silhouette using topology-adaptive mesh deformation
Pattern Recognition Letters
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
TransforMesh: a topology-adaptive mesh-based approach to surface evolution
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Probabilistic deformable surface tracking from multiple videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Efficient and robust shape matching for model based human motion capture
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Scene Representation Technologies for 3DTV—A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Coding Algorithms for 3DTV—A Survey
IEEE Transactions on Circuits and Systems for Video Technology
Shading-based dynamic shape refinement from multi-view video under general illumination
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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We present a fast and efficient non-rigid shape tracking method for modeling dynamic 3D objects from multiview video. Starting from an initial mesh representation, the shape of a dynamic object is tracked over time, both in geometry and topology, based on multiview silhouette and 3D scene flow information. The mesh representation of each frame is obtained by deforming the mesh representation of the previous frame towards the optimal surface defined by the time-varying multiview silhouette information with the aid of 3D scene flow vectors. The whole time-varying shape is then represented as a mesh sequence which can efficiently be encoded in terms of restructuring and topological operations, and small-scale vertex displacements along with the initial model. The proposed method has the ability to deal with dynamic objects that may undergo non-rigid transformations and topological changes. The time-varying mesh representations of such non-rigid shapes, which are not necessarily of fixed connectivity, can successfully be tracked thanks to restructuring and topological operations employed in our deformation scheme. We demonstrate the performance of the proposed method both on real and synthetic sequences.