Haar 분류방법을 이용한 헤드 트래킹 기반 단안 3차원 디스플레이
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이슬기 | - |
dc.contributor.author | 박상오 | - |
dc.contributor.author | 류승택 | - |
dc.date.available | 2019-07-04T06:57:33Z | - |
dc.date.issued | 2011-09 | - |
dc.identifier.issn | 1976-6513 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/27502 | - |
dc.description.abstract | 본 논문은 PC Cam을 이용하여 입력 받은 영상을 캡쳐하여 얻은 이미지에서 얼굴 영역 검출과 얼굴의 특징점을 검출하여 얻은 헤드 트래킹 정보를 이용하여 무안경 방식의 3D 환경을 구축한다. OpenCV의 미리 학습시킨 Haar 파일을 이용하여 얼굴 영역을 검출하고, 검출된 얼굴 영역의 정보를 이용하여 입체감 있는 3D 환경을 구현한다. | - |
dc.description.abstract | In this paper, the captured image can be received by the front facing PC-Cam. The face area and facial feature points are detected from the image. This head-tracking method allow to create a glasses-free monocular 3D display. the face area can be detected by using pre-learning Haar method. This technology uses an off-axis projection in order to adapt the perspective of the 3D scene according to the user's head position | - |
dc.format.extent | 6 | - |
dc.publisher | (사)한국컴퓨터게임학회 | - |
dc.title | Haar 분류방법을 이용한 헤드 트래킹 기반 단안 3차원 디스플레이 | - |
dc.title.alternative | The Monocular 3D Display Based on Head Tracking using Haar Classification | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | 한국컴퓨터게임학회논문지, v.24, no.3, pp 37 - 42 | - |
dc.identifier.kciid | ART001592231 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 42 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 37 | - |
dc.citation.title | 한국컴퓨터게임학회논문지 | - |
dc.citation.volume | 24 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Head Tracking | - |
dc.subject.keywordAuthor | Head Tracking | - |
dc.subject.keywordAuthor | 헤드트랙킹 | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.