2D-to-3D conversion of single-view video based on view-distance classification

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In this thesis, we propose a 2D-to-3D conversion system based on view-distance classification. An input image frame is transformed by using $\It{Fourier transform}$, and feature vectors are obtained by $\It{principle component analysis}$ (PCA). Based on these feature vectors, the image view is categorized into $\It{close-up view }$, $\It{long view with vanishing point}$, or $\It{ long view without vanishing point}$. According to the view classes, different methods are applied to depth map generation, which is needed for stereoscopic video generation. Experimental results show the final depth map generated by each technique, and indicate our system is useful for various 3D applications.
Advisors
Kim, Chang-Ickresearcher김창익researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2009
Identifier
393078/225023 / 020074241
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2009.2, [ vi, 48 p. ]

Keywords

소실점 검출; 깊이 지도 생성; 깊이 추정; 영상 분류; 2D-to-3D 변환; Depth map generation; Depth estimation; Image classification; 2D-to-3D conversion; Vanishing point detection

URI
http://hdl.handle.net/10203/55057
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=393078&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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