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Recognition method using stereo images-based 3D information for improvement of face recognition  

Park Chang-Han (Chung-Ang University)
Paik Joon-Ki (Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.43, no.3, 2006 , pp. 30-38 More about this Journal
Abstract
In this paper, we improved to drops recognition rate according to distance using distance and depth information with 3D from stereo face images. A monocular face image has problem to drops recognition rate by uncertainty information such as distance of an object, size, moving, rotation, and depth. Also, if image information was not acquired such as rotation, illumination, and pose change for recognition, it has a very many fault. So, we wish to solve such problem. Proposed method consists of an eyes detection algorithm, analysis a pose of face, md principal component analysis (PCA). We also convert the YCbCr space from the RGB for detect with fast face in a limited region. We create multi-layered relative intensity map in face candidate region and decide whether it is face from facial geometry. It can acquire the depth information of distance, eyes, and mouth in stereo face images. Proposed method detects face according to scale, moving, and rotation by using distance and depth. We train by using PCA the detected left face and estimated direction difference. Simulation results with face recognition rate of 95.83% (100cm) in the front and 98.3% with the pose change were obtained successfully. Therefore, proposed method can be used to obtain high recognition rate with an appropriate scaling and pose change according to the distance.
Keywords
stereo images; disparity; principal component analysis; feature extraction; face recognition;
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Times Cited By KSCI : 3  (Citation Analysis)
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