BMVC IndexOmnidirectional VisionPattern Regularity and AnalysisGeometric Grouping of Repeated Elements within Images

Omnidirectional Vision
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S. K. Nayar

Department of Computer Science
Columbia University
New York
NY 10027 USA

Contact: nayar@cs.columbia.edu

Abstract

Conventional video cameras have limited fields of view that make them restrictive in a variety of vision applications. There are several ways to enhance the field of view of an imaging system. However, the entire imaging system must have a single effective viewpoint to enable the generation of pure perspective images from a sensed image. A camera with a hemispherical field of view is presented. Two such cameras can be placed back-to-back, without violating the single viewpoint constraint, to arrive at a truly omnidirectional sensor. The implications of such a sensor for computational vision are explored. Results are presented on the software generation of pure perspective images from an omnidirectional image, given any user-selected viewing direction and magnification. The paper concludes with a discussion on the spatial resolution of the proposed camera.

Keywords: Omnidirectional Sensor, Sensor, Single Viewpoint Constraint, Field of Vew
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BMVC IndexOmnidirectional VisionPattern Regularity and AnalysisGeometric Grouping of Repeated Elements within Images

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