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 Type:	Contribution to Refereed Journal
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
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