Dynamic 3-D facial compression using low rank and sparse decomposition

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

4 Scopus Citations
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Author(s)

  • Junhui Hou
  • Lap-Pui Chau
  • Ying He
  • Dao T. P. Quynh
  • Nadia Magnenat-Thalmann

Detail(s)

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2012 Technical Briefs, SA 2012
Publication statusPublished - 2012
Externally publishedYes

Conference

TitleSIGGRAPH Asia 2012 Technical Briefs, SA 2012
PlaceSingapore
CitySingapore
Period28 November - 1 December 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. © 2012 ACM.

Research Area(s)

  • Compression, Dynamic 3-D facial expressions, Geometry video, H.264/AVC, Low rank and sparse matrix decomposition

Citation Format(s)

Dynamic 3-D facial compression using low rank and sparse decomposition. / Hou, Junhui; Chau, Lap-Pui; He, Ying; Quynh, Dao T. P.; Magnenat-Thalmann, Nadia.

SIGGRAPH Asia 2012 Technical Briefs, SA 2012. 2012. a22.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review