Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6934687 | Journal of Visual Languages & Computing | 2017 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Liu Yujie, Mao Lin Huang, Weidong Huang, Jie Liang,