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Scale-space volume descriptors for automatic 3D facial feature extraction

Chen, Daniel, Mamic, George, Fookes, Clinton B., & Sridharan, Sridha (2009) Scale-space volume descriptors for automatic 3D facial feature extraction. International Journal of Signal Processing, 5(4), pp. 264-269.

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Abstract

An automatic method for the extraction of feature points for face based applications is proposed. The system is based upon volumetric feature descriptors, which in this paper has been extended to incorporate scale space. The method is robust to noise and has the ability to extract local and holistic features simultaneously from faces stored in a database. Extracted features are stable over a range of faces, with results indicating that in terms of intra-ID variability, the technique has the ability to outperform manual landmarking.

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ID Code: 20497
Item Type: Journal Article
Additional URLs:
Keywords: Scale space volume descriptor, feature extraction, 3D facial landmarking
ISSN: 1304-4478
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 World Academy of Science, Engineering and Technology
Deposited On: 18 May 2009 14:37
Last Modified: 29 Feb 2012 23:56

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