Generalized barycentric coordinates on irregular polygons
Journal of Graphics Tools
Differential Coordinates for Interactive Mesh Editing
SMI '04 Proceedings of the Shape Modeling International 2004
ACM SIGGRAPH 2005 Papers
Mean value coordinates for closed triangular meshes
ACM SIGGRAPH 2005 Papers
Dual Laplacian Editing for Meshes
IEEE Transactions on Visualization and Computer Graphics
Inverse kinematics for reduced deformable models
ACM SIGGRAPH 2006 Papers
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
Harmonic coordinates for character articulation
ACM SIGGRAPH 2007 papers
Mesh puppetry: cascading optimization of mesh deformation with inverse kinematics
ACM SIGGRAPH 2007 papers
As-rigid-as-possible surface modeling
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Mesh Editing in ROI with Dual Laplacian
CGIV '07 Proceedings of the Computer Graphics, Imaging and Visualisation
ACM SIGGRAPH 2008 papers
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
Reusable skinning templates using cage-based deformations
ACM SIGGRAPH Asia 2008 papers
Dynamic shape capture using multi-view photometric stereo
ACM SIGGRAPH Asia 2009 papers
CageR: Cage-Based Reverse Engineering of Animated 3D Shapes
Computer Graphics Forum
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Full body performance capture is a promising emerging technology that has been intensively studied in Computer Graphics and Computer Vision over the last decade. Highly-detailed performance animations are easier to obtain using existing multiple views platforms, markerless capture and 3D laser scanner. In this paper, we investigate the feasibility of extracting optimal reduced animation parameters without requiring an underlying rigid kinematic structure. This paper explores the potential of introducing harmonic cage-based linear estimation and deformation as post-process of current performance capture techniques used in 3D time-varying scene capture technology. We propose the first algorithm for performing cage-based tracking across time for vision and virtual reality applications. The main advantages of our novel approach are its linear single pass estimation of the desired surface, easy-to-reuse output cage sequences and reduction in storage size of animations. Our results show that estimated parameters allow a sufficient silhouette-consistent generation of the enclosed mesh under sparse frame-to-frame animation constraints and large deformation.