DocumentCode
1710435
Title
Light weight multiview capturing
Author
Shim, Hyunjung ; Tsuhan Chen ; Lee, Seungkyu ; Kim, Changyeong ; ChangYeong Kim
Author_Institution
SAIT, Samsung Electron., Yongin, South Korea
fYear
2012
Firstpage
25
Lastpage
29
Abstract
The framework of capturing multiview images has received a great attention from industry as well as academy due to its usability in various applications; 3D scene reconstruction, super-resolution, scene understanding, surveillance etc. This paper presents a multiview capturing system that uses a single camera with multiple mirrors. We place multiple mirrors pointing to the target scene and record an image of those mirrors. From this image of mirrors, we can extract the multiview images of the target scene, images reflected by mirrors. Based on the proposed method, we achieve some success in geometry reconstruction and view synthesis using multiview images, which shows the usability of the proposed work. The main contribution of this work is to introduce a light weight implementation for multiview capturing with a number of useful properties; the automatic synchronization across multiple views, the consistent color/white balance setting across multiple views, the capability of recording a wide range of view and the cost-effective implementation.
Keywords
feature extraction; image colour analysis; image reconstruction; automatic synchronization; color-white balance setting; geometry reconstruction; image extraction; light weight multiview capturing; multiview image capturing; view synthesis; Calibration; Cameras; Geometry; Image reconstruction; Mirrors; Rendering (computer graphics); Three dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4577-2070-3
Type
conf
DOI
10.1109/CCNC.2012.6181057
Filename
6181057
Link To Document