A skinning prediction scheme for dynamic 3D mesh compression

Khaled Mamou; Titus Zaharia; Françoise Prêteux

doi:10.1117/12.682233

25 August 2006 A skinning prediction scheme for dynamic 3D mesh compression

Khaled Mamou, Titus Zaharia, Françoise Prêteux

Author Affiliations +

Proceedings Volume 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX; 631502 (2006) https://doi.org/10.1117/12.682233
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

This paper presents a new prediction-based compression technique for dynamic 3D meshes with constant connectivity and time-varying geometry. The core of the proposed algorithm is a skinning model used for motion compensation. The mesh is first partitioned within vertex clusters that can be described by a single affine motion model. The proposed segmentation technique automatically determines the number of clusters and relays on a decimation strategy privileging the simplification of vertices exhibiting the same affine motion over the whole animation sequence. The residual prediction errors are finally compressed using a temporal-DCT representation. The performances of our encoder are objectively evaluated on a data set of eight animation sequences with various sizes, geometries and topologies, and exhibiting both rigid and elastic motions. The experimental evaluation shows that the proposed compression scheme outperforms state of the art techniques such as MPEG-4/AFX, Dynapack, RT, GV, MCGV, TDCT, PCA and RT compression schemes.

Citation Download Citation

Khaled Mamou, Titus Zaharia, and Françoise Prêteux "A skinning prediction scheme for dynamic 3D mesh compression", Proc. SPIE 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, 631502 (25 August 2006); https://doi.org/10.1117/12.682233

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