Title :
Virtual-view-based stereo video composition
Author :
Chun-Kai Chang ; Hsueh-Ming Hang
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
Oct. 29 2013-Nov. 1 2013
Abstract :
Given two sets of videos captured by two sets of multiple cameras, we like to combine them to create a new stereo scene with the foreground objects from one set of video and the background from the other set. We address the camera parameter mismatch and camera orientation mismatch problems in this paper. We propose a floor model to adjust the camera orientation. Once we pick up the landing point (of foreground) in the background scene, we need to adjust the background camera parameters (position etc.) to match the foreground object. The depth information is needed in the above calculation. Thus, new background scenes may have to be synthesized based on the calculated virtual camera parameters and the given background pictures. Plausible results are demonstrated using the proposed algorithms.
Keywords :
image sensors; stereo image processing; video signal processing; virtual reality; camera orientation mismatch problem; camera parameter mismatch problem; multiple cameras; virtual-view-based stereo video composition; Cameras; Educational institutions; Floors; Geometrical optics; Geometry; Optical imaging; Three-dimensional displays;
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
DOI :
10.1109/APSIPA.2013.6694133