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http://dx.doi.org/10.9708/jksci.2014.19.7.017

Distinction of Real Face and Photo using Stereo Vision  

Shin, Jin-Seob (Dept. of Bioinforamtion, Daejeon Health Sciences College)
Kim, Hyun-Jung (Dept. of Computer Science and Engineering, Konkuk University)
Won, Il-Yong (Dept. of Cyber Hacking Security, Seoul Hoseo Technical College)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.7, 2014 , pp. 17-25 More about this Journal
Abstract
In the devices that leave video records, it is an important issue to distinguish whether the input image is a real object or a photo when securing an identifying image. Using a single image and sensor, which is a simple way to distinguish the target from distance measurement has many weaknesses. Thus, this paper proposes a way to distinguish a simple photo and a real object by using stereo images. It is not only measures the distance to the target, but also checks a three-dimensional effect by making the depth map of the face area. They take pictures of the photos and the real faces, and the measured value of the depth map is applied to the learning algorithm. Exactly through iterative learning to distinguish between the real faces and the photos looked for patterns. The usefulness of the proposed algorithm was verified experimentally.
Keywords
disparity map; depth map; stereo matching; neural network; C4.5; IBL;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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