The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 28-335
Full Name: Yulia Gizatdinova
Position: Researcher
Age: ON
Sex: Female
Address: Kanslerinrinne 1, University of Tampere, 33014
Country: FINLAND
Tel: 3 3551 4030
Tel prefix: +358
Fax: 3 3551 6070
E-mail address: yulia.gizatdinova@uta.fi
Other E-mails: ioulia_3@mail.ru
Title of the Paper: Automatic Real Time Localization of Frowning and Smiling Faces under Controlled Head Rotations
Authors as they appear in the Paper: Yulia Gizatdinova, Jouni Erola, and Veikko Surakka
Email addresses of all the authors: yulia.gizatdinova@uta.fi, jouni@tuu.fi, veikko.surakka@cs.uta.fi
Number of paper pages: 11
Abstract: The aim of the present study was to develop a new method for fast localization of the face from streaming colour video. In the method, the face is located by analysing local properties of four facial landmarks, namely, regions of eyes, nose, and mouth. The method consists of three stages. First, the face-like skin-coloured image region is segmented from the background and transformed into the grey scale representation. Second, the cropped image is convolved with Sobel operator in order to extract local oriented edges at 16 orientations. The extracted edges are further grouped to form regions of interest representing candidates for facial landmarks. The orientation portraits, which define the distribution of local oriented edges inside the located region, are matched against the edge orientation model to verify the existence of the landmark in the image. The located landmarks are spatially arranged into the face–like constellations. Finally, the best face-like const!
ellation of the landmark candidates is defined by a new scoring function. The test results showed that the proposed method located neutral, frowning, and smiling faces with high rates in real time from facial images under controlled head rotation variations.
Keywords: Face localization, Facial landmarks, Sobel edge detection, Frontal-view geometrical face model, Facial expressions, Head rotations
EXTENSION of the file: .pdf
Special (Invited) Session: Automatic Real-Time Localization of Frowning and Smiling Faces under Head Rotation Variations
Organizer of the Session: 594-097
How Did you learn about congress:
IP ADDRESS: 153.1.60.83
