One colored image based 2.5D human face reconstruction

Peng Liu*, W. L. Woo, S. S. Dlay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


2.5D human face is illumination invariant which has a great advantage in face recognition. However, the existing method are linear based and capturing a 2.5D human face involves multi images from the same view point which is impractical in reality. This paper introduces a new nonlinear method for normal Surveillance camera to capture a 2.5D human face data. Only a single image is needed during capturing process by using RGB light sources. The illumination is separated from 2D images by applying ICA (Independent component analysis) method. A nonlinear statistical reflection model is developed through the nonlinear ICA algorithm to compensate nonlinear distortions during image capturing process. The proposed algorithm has achieved excellent features in separating the illumination which yielded very high accuracy of 2.5D human face data recovery.

Original languageEnglish
Title of host publication2009 17th European Signal Processing Conference
Number of pages5
ISBN (Print)9781617388767
Publication statusPublished - 1 Dec 2009
Event17th European Signal Processing Conference, EUSIPCO 2009 - Glasgow, United Kingdom
Duration: 24 Aug 200928 Aug 2009

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference17th European Signal Processing Conference, EUSIPCO 2009
Country/TerritoryUnited Kingdom


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