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Proceedings Paper

Monocular panoramic 3D reconstruction based on a particle filter
Author(s): Frank Pagel
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Paper Abstract

This paper adresses the issue of generating a panoramic view and a panoramic depth maps using only a single camera. The proposed approach first estimates the egomotion of the camera. Based on this information, a particle filter approximates the 3D structure of the scene. Hence, 3D scene points are modeled probabilistically. These points are accumulated in a cylindric coordinate system. The probabilistic representation of 3D points is used to handle the problem of visualizing occluding and occluded scene points in a noisy environment to get a stable data visualization. This approach can be easily extended to calibrated multi-camera applications (even with non-overlapping field of views).

Paper Details

Date Published: 7 May 2010
PDF: 12 pages
Proc. SPIE 7692, Unmanned Systems Technology XII, 76921S (7 May 2010); doi: 10.1117/12.850697
Show Author Affiliations
Frank Pagel, Fraunhofer Institute for Optronics, System Technologies and Image Exploitation (Germany)

Published in SPIE Proceedings Vol. 7692:
Unmanned Systems Technology XII
Grant R. Gerhart; Douglas W. Gage; Charles M. Shoemaker, Editor(s)

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