2D-to-3D stereoscopic conversion : depth estimation in 2D images and soccer videos = 낮은 심도 영상과 축구 영상에서 대한 스테레오 변환 기술depth estimation in 2D images and soccer videos

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With the development of 3DTV technologies, the demand for 3D contents is increasing. Thus, the technique that converts two dimensional (2D) images to three dimensional (3D) images has become a big demand since there exist a number of images and videos captured in a conventional way. In this thesis, with introducing the related works for the stereoscopic conversion, we propose two novel stereoscopic conversion methods: one for static images which contain low depth of field and the other for common 2D soccer videos. The stereoscopic conversion of 2D images is straightforward once a depth map is provided. For the low depth of field images, we generate the depth map by extracting foreground regions through spatial-frequency components analysis on the image. For 2D soccer videos, we devise methods to generate the depth map which are different to shot types classified by soccer video analysis. In the long shot case, the depth map is generated with the assumption that the lower area in a frame is closer to viewers than the upper one is. For non-long shot case, we estimate the foreground region through skin color detection. In experimental results for each section, we present some pictorial results generated by our proposed algorithm, and subjective evaluation comparing the input videos and corresponding stereoscopic videos indicates that the proposed algorithm can yield the sense of depth from a single view images.
Advisors
Kim, Chang-Ickresearcher김창익researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2008
Identifier
392884/225023 / 020064529
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2008.2, [ viii, 54 p. ]

Keywords

Stereoscopic Conversion; 3DTV; Soccer Video Analysis; 깊이지도; 축구비디오분석; 스테레오 변환; Depth map

URI
http://hdl.handle.net/10203/54894
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392884&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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