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.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012 |
| Pages | 25-29 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2012 May 11 |
| Event | 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012 - Las Vegas, NV, United States Duration: 2012 Jan 14 → 2012 Jan 17 |
Publication series
| Name | 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012 |
|---|
Other
| Other | 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 12/1/14 → 12/1/17 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
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Light weight multiview capturing. / Shim, Hyunjung; Chen, Tsuhan; Lee, Seungkyu; Kim, James Dokyoon; Kim, Changyeong.
2012 IEEE Consumer Communications and Networking Conference, CCNC'2012. 2012. p. 25-29 6181057 (2012 IEEE Consumer Communications and Networking Conference, CCNC'2012).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Light weight multiview capturing
AU - Shim, Hyunjung
AU - Chen, Tsuhan
AU - Lee, Seungkyu
AU - Kim, James Dokyoon
AU - Kim, Changyeong
PY - 2012/5/11
Y1 - 2012/5/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84860657307&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860657307&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2012.6181057
DO - 10.1109/CCNC.2012.6181057
M3 - Conference contribution
AN - SCOPUS:84860657307
SN - 9781457720710
T3 - 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012
SP - 25
EP - 29
BT - 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012
ER -