Wavelet compression of parametrically coherent mesh sequences
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
R-D optimized compression of 3-D mesh sequences based on principal component analysis
Proceedings of the 44th annual Southeast regional conference
Technical Section: Temporal wavelet-based compression for 3D animated models
Computers and Graphics
Impact of vertex clustering on registration-based 3D dynamic mesh coding
Image and Vision Computing
Bit Allocation for Spatio-temporal Wavelet Coding of Animated Semi-regular Meshes
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
SNR and temporal scalable coding of 3-D mesh sequences using singular value decomposition
Journal of Visual Communication and Image Representation
Single-rate near lossless compression of animated geometry
Computer-Aided Design
Technologies for 3D mesh compression: A survey
Journal of Visual Communication and Image Representation
Shape-based simplification for 3d animation models using shape operator sequences
CIT'10 Proceedings of the 4th international conference on Communications and information technology
Multiple description coding of animated meshes
Image Communication
Improved prediction methods for scalable predictive animated mesh compression
Journal of Visual Communication and Image Representation
The alpha parallelogram predictor: A lossless compression method for motion capture data
Information Sciences: an International Journal
| Hi-index | 0.00 |
We propose an efficient geometry compression algorithm for three-dimensional (3-D) mesh sequences based on the two-stage vertex-wise motion vector (MV) prediction. In general, the MV of a vertex is highly correlated to those of the adjacent vertices. To exploit this high correlation, we define the neighborhood of a vertex, and predict the MV of the vertex from those of the neighborhood. The error vectors are related to the local shape changes of 3-D objects, and still have redundancy. To remove the redundancy, the error vectors are also predicted, at the second stage, spatially or temporally by using a rate-distortion optimization technique. It is shown that the proposed algorithm has simpler structure than the existing segment-based algorithm, and yields better compression performance.