3D-based face segmentation using adaptive radius

Citation

Rabiu, Habibu and Saripan, M. Iqbal and Marhaban, Mohammad Hamiruce and Mashohor, Syamsiah (2013) 3D-based face segmentation using adaptive radius. In: 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 8-10 Oct. 2013, Melaka, Malaysia. (pp. 237-240).

Abstract

Face detection and segmentation is an important prerequisite step for many face related processes such as face recognition and facial expression recognition. A method that automatically segments the given faces images irrespective of their different sizes and orientations will not only ease the subsequent face analysis task but will as well enhances its performance. In this work, an adaptive radius based face segmentation method is presented. We utilised the face's intrinsic properties derived from Gaussian and mean curvature of the face surface to segment each face. The UPM-3DFE and Gavab 3D face databases were used in testing the new method. Visual inspection of the result indicated that the novel method can attained up to 99.23% segmentation accuracy.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ICSIPA.2013.6708010
Publisher:	IEEE
Keywords:	3D face detection; Linear regression analysis; HK-classification
Depositing User:	Azian Edawati Zakaria
Date Deposited:	20 Nov 2015 07:49
Last Modified:	31 Oct 2018 00:42
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICSIPA.2013.6708010
URI:	http://psasir.upm.edu.my/id/eprint/41439
Statistic Details:	View Download Statistic

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