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dc.contributor.author문영식-
dc.date.accessioned2019-07-10T04:17:59Z-
dc.date.available2019-07-10T04:17:59Z-
dc.date.issued2007-11-
dc.identifier.citation2007 International Conference on Convergence Information Technology (ICCIT 2007), Page. 1292-1297en_US
dc.identifier.isbn0-7695-3038-9-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4420434-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/107261-
dc.description.abstractIn this paper, we propose a face extraction method based on edge and color information. In proposed method, first, we detect the candidate face region using edge orientation information. Second, we select the final face region using template which is constructed from average face. And then, we find the skin color range in the face region, and using it, process the thresholding procedure for the initial face shape. Finally, we improve face shape using the radius histogram of face shape and face model information, and then, we extract the face images. The experimental results show that the extraction performance of the proposed method is 90% of correctness.en_US
dc.description.sponsorshipThis research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the lITA (Institute of Information Technology Assessment)en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleFace Extraction Method Using Edge Orientation and Face Geometric Featuresen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCIT.2007.282-
dc.contributor.googleauthorLee, Jong Min-
dc.contributor.googleauthorKim, Jae Hyup-
dc.contributor.googleauthorMoon, Young Shik-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidysmoon-
Appears in Collections:
COLLEGE OF COMPUTING[E](소프트웨어융합대학) > COMPUTER SCIENCE(소프트웨어학부) > Articles
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