Facial shape and albedo reconstruction based on a trained prototype

Yujuan Sun, Muwei Jian, Junyu Dong, Haozhi Yang, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Facial shape and albedo can be estimated under unknown lighting conditions according to a facial prototype, which is generated by using Photometric Stereo. However, the prototype is seriously affected by shadows, ambient light, and noises. A solution to this problem is to train the prototype based on a facial database. In our algorithm, the facial shape and the albedo of a novel human face under unknown lighting conditions are reconstructed based on the trained prototype and singular value decomposition. Extensive experiments have proven that using our proposed trained prototype is more robust than other methods when a face is under shadow.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages425-429
Number of pages5
DOIs
Publication statusPublished - 26 Nov 2012
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, Hong Kong
Duration: 12 Aug 201215 Aug 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryHong Kong
CityHong Kong
Period12/08/1215/08/12

Keywords

  • albedo
  • facial prototype
  • normal
  • PCA
  • SVD

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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