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A physiognomy based method for facial feature extraction and recognition
Citation
Liu, Y and Huang, ML and Huang, W and Liang, J, A physiognomy based method for facial feature extraction and recognition, Journal of Visual Languages and Computing, 43 pp. 103-109. ISSN 1045-926X (2017) [Contribution to Refereed Journal]
Copyright Statement
© 2017 Elsevier Ltd. All rights reserved.
DOI: doi:10.1016/j.jvlc.2017.09.006
Abstract
This paper proposes a novel calculation method of personality based on Chinese physiognomy. The proposed solution combines ancient and modern physiognomy to understand the relationship between personality and facial features and to model a baseline to shape facial features. We compute a histogram of image by searching for threshold values to create a binary image in an adaptive way. The two-pass connected component method indicates the feature’s region. We encode the binary image to remove the noise point, so that the new connected image can provide a better result. According to our analysis of contours, we can locate facial features and classify them by means of a calculation method. The number of clusters is decided by a model and the facial feature contours are classified by using the k-means method. The validity of our method was tested on a face database and demonstrated by a comparative experiment.
Item Details
Item Type: | Contribution to Refereed Journal |
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Keywords: | facial feature extraction, facial feature recognition, physiognomy |
Research Division: | Information and Computing Sciences |
Research Group: | Graphics, augmented reality and games |
Research Field: | Computer graphics |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies and services not elsewhere classified |
UTAS Author: | Huang, W (Dr Tony Huang) |
ID Code: | 123667 |
Year Published: | 2017 |
Web of Science® Times Cited: | 4 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2018-01-17 |
Last Modified: | 2018-12-13 |
Downloads: | 0 |
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