DocumentCode :
2695899
Title :
Fusing optical flow and stereo in a spherical depth panorama using a single-camera folded catadioptric rig
Author :
Labutov, Igor ; Jaramillo, Carlos ; Xiao, Jizhong
Author_Institution :
Comput. Eng. Dept., City Coll. of New York (CUNY), New York, NY, USA
fYear :
2011
fDate :
9-13 May 2011
Firstpage :
3092
Lastpage :
3097
Abstract :
We present a novel catadioptric-stereo rig consisting of a coaxially-aligned perspective camera and two spherical mirrors with distinct radii in a “folded” configuration. We recover a nearly-spherical dense depth panorama (360°×153°) by fusing depth from optical flow and stereo. We observe that for motion in a horizontal plane, optical flow and stereo generate nearly complementary distributions of depth resolution. While optical flow provides strong depth cues in the periphery and near the poles of the view-sphere, stereo generates reliable depth in a narrow band about the equator. We exploit this principle by modeling the depth resolution of optical flow and stereo in order to fuse them probabilistically in a spherical panorama. To aid the designer in achieving a desired field-of-view and resolution, we derive a linearized model of the rig in terms of three parameters (radii of the two mirrors plus axial separation from their centers). We analyze the error due to the violation of the Single Viewpoint (SVP) constraint and formulate additional constraints on the design to minimize the error. Performance is evaluated through simulation and with a real prototype by computing dense spherical panoramas in cluttered indoor settings.
Keywords :
cameras; image resolution; image sequences; mirrors; stereo image processing; catadioptric-stereo rig; coaxially-aligned perspective camera; depth cue; depth resolution; field-of-view; folded configuration; linearized model; optical flow; single viewpoint constraint; single-camera folded catadioptric rig; spherical dense depth panorama; spherical mirror; view-sphere; Adaptive optics; Approximation methods; Cameras; Mirrors; Optical imaging; Robots; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2011 IEEE International Conference on
Conference_Location :
Shanghai
ISSN :
1050-4729
Print_ISBN :
978-1-61284-386-5
Type :
conf
DOI :
10.1109/ICRA.2011.5980103
Filename :
5980103
Link To Document :
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