DocumentCode
3409104
Title
Axial light field for curved mirrors: Reflect your perspective, widen your view
Author
Taguchi, Yuichi ; Agrawal, Amit ; Ramalingam, Srikumar ; Veeraraghavan, Ashok
Author_Institution
Mitsubishi Electr. Res. Labs. (MERL), Cambridge, MA, USA
fYear
2010
fDate
13-18 June 2010
Firstpage
499
Lastpage
506
Abstract
Mirrors have been used to enable wide field-of-view (FOV) catadioptric imaging. The mapping between the incoming and reflected light rays depends non-linearly on the mirror shape and has been well-studied using caustics. We analyze this mapping using two-plane light field parameterization, which provides valuable insight into the geometric structure of reflected rays. Using this analysis, we study the problem of generating a single-viewpoint virtual perspective image for catadioptric systems, which is unachievable for several common configurations. Instead of minimizing distortions appearing in a single image, we propose to capture all the rays required to generate a virtual perspective by capturing a light field. We consider rotationally symmetric mirrors and show that a traditional planar light field results in significant aliasing artifacts. We propose axial light field, captured by moving the camera along the mirror rotation axis, for efficient sampling and to remove aliasing artifacts. This allows us to computationally generate wide FOV virtual perspectives using a wider class of mirrors than before, without using scene priors or depth estimation. We analyze the relationship between the axial light field parameters and the FOV/resolution of the resulting virtual perspective. Real results using a spherical mirror demonstrate generating 140° FOV virtual perspective using multiple 30° FOV images.
Keywords
image resolution; image sampling; mirrors; FOV image; aliasing artifact removal; axial light field; catadioptric system; curved mirror; geometric structure; image distortion; image resolution; image sampling; light rays mapping; mirror rotation axis; mirror shape; reflected ray; single-viewpoint virtual perspective image; symmetric mirror; two-plane light field parameterization; wide field-of-view catadioptric imaging; Automatic control; Cameras; Color; Dynamic range; Image coding; Layout; Mirrors; Optical propagation; Photography; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6919
Print_ISBN
978-1-4244-6984-0
Type
conf
DOI
10.1109/CVPR.2010.5540172
Filename
5540172
Link To Document