A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Rigid, affine and locally affine registration of free-form surfaces
International Journal of Computer Vision
Optimized geometry compression for real-time rendering
VIS '97 Proceedings of the 8th conference on Visualization '97
Geometric compression through topological surgery
ACM Transactions on Graphics (TOG)
Real time compression of triangle mesh connectivity
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Simultaneous registration of multiple range views for use in reverse engineering of CAD models
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
Compression of time-dependent geometry
I3D '99 Proceedings of the 1999 symposium on Interactive 3D graphics
Spectral compression of mesh geometry
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Multi-resolution dynamic meshes with arbitrary deformations
Proceedings of the conference on Visualization '00
TALKING HEADS: Introducing the Tool of 3D Motion Fields in the Study of Action
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Constructing models of articulating objects: range data partitioning
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
ACM SIGGRAPH 2005 Papers
Compression of motion capture databases
ACM SIGGRAPH 2006 Papers
Compression of time varying isosurfaces
GI '06 Proceedings of Graphics Interface 2006
Segment-based human motion compression
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Optimized MPEG-4 animation encoder for motion capture data
Proceedings of the twelfth international conference on 3D web technology
Impact of vertex clustering on registration-based 3D dynamic mesh coding
Image and Vision Computing
Nonuniform segment-based compression of motion capture data
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
The alpha parallelogram predictor: A lossless compression method for motion capture data
Information Sciences: an International Journal
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In this paper, we propose a new framework to perform motion compression for time-dependent 3D geometric data. Temporal coherence in dynamic geometric models can be used to achieve significant compression, thereby leading to efficient storage and transmission of large volumes of 3D data. The displacement of the vertices in the geometric models is computed using the iterative closest point (ICP) algorithm. This forms the core of our motion prediction technique and is used to estimate the transformation between two successive 3D data sets. The motion between frames is coded in terms of a few affine parameters with some added residues. Our motion segmentation approach separates the vertices into two groups. Within the first group, motion can be encoded with a few affine parameters without the need of residues. In the second group, the vertices need further encoding of residual errors. Also in this group, for those vertices associated with large residual errors under affine mapping, we encode their motion effectively using Newtonian motion estimates. This automatic segmentation enables our algorithm to he very effective in compressing time-dependent geometric data. Dynamic range data captured from the real world, as well as complex animations created using commercial tools, can be compressed efficiently using this scheme.