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Title: Dynamic 3-D facial compression using low rank and sparse decomposition
Authors: Chau, Lap-Pui
Hou, Junhui
He, Ying
Quynh, Dao Thi Phuong
Magnenat-Thalmann, Nadia
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Hou, J., Chau, L.-P., He, Y., Quynh, D. T. P., & Magnenat-Thalmann, N. (2012). Dynamic 3-D facial compression using low rank and sparse decomposition. SIGGRAPH Asia 2012 Technical Briefs - SA '12.
metadata.dc.contributor.conference: Special Interest Group for Computer Graphics Asia Technical Briefs (2012)
Abstract: In this paper, we propose a new compression framework for dynamic 3-D facial expressions acquired from structured light based 3-D camera, based on our previous work. Taking advantage of the near-isometric property of human facial expressions, we parameterize the dynamic 3-D faces into an expression-invariant canonical domain, which naturally generates geometry video and allows us to apply the well-studied video compression technique. Then, low rank and sparse decomposition is applied to each dimension (i.e., X, Y and Z, respectively) before the H.264/AVC encoder is employed to separately encode each dimension instead of encoding them as a whole. Experimental results show that the averaged 3-4 dB gain is achieved by the proposed scheme compared with existing algorithms.
DOI: 10.1145/2407746.2407768
Schools: School of Computer Engineering 
School of Electrical and Electronic Engineering 
Rights: © 2012 ACM.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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