Spectral compression of mesh geometry
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Geometry videos: a new representation for 3D animations
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Global conformal surface parameterization
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
ACM SIGGRAPH 2004 Papers
High-Resolution, Real-time 3D Shape Acquisition
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
Surface compression with geometric bandelets
ACM SIGGRAPH 2005 Papers
Real-Time Range Acquisition by Adaptive Structured Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Surface Matching and Recognition Using Conformal Geometry
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Mesh parameterization methods and their applications
Foundations and Trends® in Computer Graphics and Vision
High Resolution Tracking of Non-Rigid Motion of Densely Sampled 3D Data Using Harmonic Maps
International Journal of Computer Vision
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH 2008 papers
User-controllable polycube map for manifold spline construction
Proceedings of the 2008 ACM symposium on Solid and physical modeling
Computer-Aided Design
Optimal Surface Parameterization Using Inverse Curvature Map
IEEE Transactions on Visualization and Computer Graphics
Technical Section: A divide-and-conquer approach for automatic polycube map construction
Computers and Graphics
Dynamic shape capture using multi-view photometric stereo
ACM SIGGRAPH Asia 2009 papers
Robust single-view geometry and motion reconstruction
ACM SIGGRAPH Asia 2009 papers
Metric-Driven RoSy Field Design and Remeshing
IEEE Transactions on Visualization and Computer Graphics
A concise and provably informative multi-scale signature based on heat diffusion
SGP '09 Proceedings of the Symposium on Geometry Processing
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Modeling 3D facial expressions using geometry videos
Proceedings of the international conference on Multimedia
Editable polycube map for GPU-based subdivision surfaces
I3D '11 Symposium on Interactive 3D Graphics and Games
SMI 2011: Full Paper: A topology-preserving optimization algorithm for polycube mapping
Computers and Graphics
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Time-Varying Mesh Compression Using an Extended Block Matching Algorithm
IEEE Transactions on Circuits and Systems for Video Technology
Modeling and Compressing 3-D Facial Expressions Using Geometry Videos
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic 3-D facial compression using low rank and sparse decomposition
SIGGRAPH Asia 2012 Technical Briefs
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3D articulated motions are widely used in entertainment, sports, military, and medical applications. Among various techniques for modeling 3D motions, geometry videos (GVs) are a compact representation in that each frame is parameterized to a 2D domain, which captures the 3D geometry (x, y, z) to a pixel (r, g, b) in the image domain. As a result, the widely studied image/video processing techniques can be directly borrowed for 3D motion. This paper presents conformal geometry videos (CGVs), a novel extension of the traditional geometry videos by taking into the consideration of the isometric nature of 3D articulated motions. We prove that the 3D articulated motion can be uniquely (up to rigid motion) represented by (»,H), where » is the conformal factor characterizing the intrinsic property of the 3D motion, and H the mean curvature characterizing the extrinsic feature (i.e., embedding or appearance). Furthermore, the conformal factor » is pose-invariant. Thus, in sharp contrast to the GVs which capture 3D motion by three channels, CGVs take only one channel of mean curvature H and the first frame of the conformal factor », i.e., approximately 1/3 the storage of the GVs. In addition, CGVs have strong spatial and temporal coherence, which favors various well studied video compression techniques. Thus, CGVs can be highly compressed by using the state-of the-art video compression techniques, such as H.264/AVC. Our experimental results on real-world 3D motions show that CGVs are a highly compact representation for 3D articulated motions, i.e., given CGVs and GVs of the same file size, CGVs show much better visual quality than GVs.