Sunday 30 January 2011

Wseas Transactions

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Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 20-332
Full Name: Seoksoo Kim
Position: Professor
Age: ON
Sex: Male
Address: Dept. of Multimedia, Hannam Univ. Ojeong-dong, Daedeok-gu, Daejeon 306-791
Country: KOREA
Tel: 82-42-629-8336
Tel prefix: 82-42-629-8336
Fax: 82-42-629-8383
E-mail address: sskim0123@naver.com
Other E-mails: bhas9@paran.com,sskim@hnu.kr
Title of the Paper: Research on the Real-time 3D Image Processing System using Facial Feature Tracking
Authors as they appear in the Paper: Jae-gu Song, Yohwan So, Eunseok Lee, Seoksoo Kim
Email addresses of all the authors: bhas9@paran.com,arto@hnu.kr,eslee@hnu.kr,sskim0123@naver.com
Number of paper pages: 8
Abstract: This research is on the real-time 3D image processing system using facial feature tracking and how the system works. When transferring an input 2D image to a 3D stereoscopic image, this system provides real-time 3D synthetic images. It also provides measures to trace a face in the input image in order to distinguish a person from the background and includes measures to digitize positional values within the face by tracking colors and facial feature points. The real-time 3D image processing system in this study that uses facial feature tracking is the preprocessing system for special effects. Firstly, it allows users to utilize basic positional values obtained from a person and a background in the collected images when applying special effects. Secondly, by checking a 3D stereoscopic image in real-time, users can verify composition and image effects prior to application of special effects. Lastly, data that successfully generated facial areas can be constantly impro!
ved and used as foundation to standardize facial area detecting data as well as to create the plug-in.
Keywords: Imaging Processing, 3D, Face Recognition, Tracking, Real-time processing
EXTENSION of the file: .pdf
Special (Invited) Session: A Study on Face Recognition by Extracting CT-based Color Values
Organizer of the Session: 657-201
How Did you learn about congress: Dr. Reynato C. Arimbuyutan, racrtcab@yahoo.com
IP ADDRESS: 203.247.63.125