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Lookup NU author(s): Peng Liu, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay
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Traditional 2D based image processing and face recognition is only considering gray level information, which is the combination of illumination, and object shape. However, shape and illumination are two independent components. This paper focus on separating illumination factors from 2D images by using ICA (Independent component analysis) method. Only a single image captured under RGB light sources is used as the Input. A nonlinear statistical reflection model is developed through the nonlinear ICA algorithm to counter balance nonlinear distortions during image capturing process. The proposed algorithm has achieved excellent features of separating the illumination factors and yielded very high accuracy of 2.5D human face data recovery.
Author(s): Liu P, Woo WL, Dlay SS
Editor(s): Erich Leitgeb; Wolfgang Kogler; Zabih Ghassemlooy
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 6th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2008)
Year of Conference: 2008
Pages: 613-617
ISSN: 9781424418756
Publisher: University of Graz
Library holdings: Search Newcastle University Library for this item
ISBN: 1424418755
