Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

얼굴 검출 성능 향상을 위한 조명 영상 분류 방법

Full metadata record
DC Field Value Language
dc.contributor.author이준영-
dc.contributor.author이종민-
dc.contributor.author문영식-
dc.date.accessioned2021-06-23T06:05:11Z-
dc.date.available2021-06-23T06:05:11Z-
dc.date.issued2012-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/31381-
dc.description.abstractIn this paper, we propose anillumination classification method for a face detection using a facial color and adaboost. The proposed method classifies a specific illumination image using deviation of H component in HSV color space. As experimental results, our method achieves better performance than existing methods-
dc.format.extent3-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한전자공학회-
dc.title얼굴 검출 성능 향상을 위한 조명 영상 분류 방법-
dc.title.alternativeIllumination Classification for Performance Enhancement of Face Detection-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation2012년 대한전자공학회 추계학술대회 논문집, pp 619 - 621-
dc.citation.title2012년 대한전자공학회 추계학술대회 논문집-
dc.citation.startPage619-
dc.citation.endPage621-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02346531-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE