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.
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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|Item Type:||Journal Article|
|Keywords:||Scale space volume descriptor, feature extraction, 3D facial landmarking|
|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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