One colored image based 2.5D human face reconstruction

Liu, Peng, Woo, Wai Lok and Dlay, Satnam (2009) One colored image based 2.5D human face reconstruction. In: EUSIPCO 2009 - 17th European Signal Processing Conference, 24th - 28th August 2009, Glasgow, UK.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Light sources, Reflection, Lighting, Shape, Face, Surface reconstruction, Vectors
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 21 May 2019 11:41
Last Modified: 10 Oct 2019 18:47

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