Time filter

Source Type

Akiba M.,Polyechnic University | Akiba M.,Yokohama National University | Liewchavalit C.,Polyechnic University | Kanno T.,Polyechnic University | Nagao T.,Yokohama National University
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers | Year: 2010

We investigated effect of face perception on race and gender classification by using facial images of racially close groups such as Thai and Japanese. Participants were Japanese and Southeast Asian college students residing in Japan. The purpose of this work is to study human perception in an attempt to establish more efficient human interface systems. In a psychological experiment, the participants from Southeast Asia acquired high recognition scores of approximately 70%, which is higher than those of the Japanese participants. Since the perception rates of the Southeast Asian participants varied by the length of their stay in Japan, it can be suggested that race perception is a learnable ability. For race perception, participants focused mostly on eyes and eyebrows. These results suggest that eyes are a significant factor in race perception. For Gender perception, we found that participants focused mostly on eyes, eyebrows, and mouths.

Akiba M.,Ministry of Labour | Akiba M.,Polyechnic University | Liewchavalit C.,Yokohama National University | Kanno T.,Ministry of Labour | Nagao T.,Polyechnic University
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers | Year: 2011

We used facial images of racially close group such as Japanese and Thais to study which features affect the viewer's impression of ethnicity. Principle component analysis (PCA) was done to extract the racial features of the sample group. The facial features were separated into information on texture and shape, and the PCA was applied to each. We compared the basic with the weighted PCA with the score related to impression of race. The racial impression score was provided by a psychological experiment. A weighted PCA with information of the user's impression extracted racial facial features from an image that had fewer cues to ethnicity because of changed facial direction and reduced lighting. The extracted features of texture and shape could be used for the racial impression conversion of facial images. We suggest that the identification of features typical of a given race relies on detailed texture rather than shape.

Loading Polyechnic University collaborators
Loading Polyechnic University collaborators