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The method of vector fields for catadioptric sensor design with applications to panoramic imaging
Hicks, R.A.   Perline, R.K.  
Dept. of Mathematics, Drexel Univ., Philadelphia, PA, USA;

This paper appears in: Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Publication Date: 27 June-2 July 2004
Volume: 2,  On page(s): II-143- II-150 Vol.2
ISSN: 1063-6919
ISBN: 0-7695-2158-4
INSPEC Accession Number: 8168966
Digital Object Identifier: 10.1109/CVPR.2004.1315156
Current Version Published: 2004-07-19

Abstract
We present a design technique for realizing given projections as catadioptric sensors. In general, these problems do not have solutions, but approximate solutions may often be found that are visually acceptable. Our approach, which we call the "method of vector fields", reduces the problem to solving a linear system. A given transformation between the image plane object surface is shown to determine a vector field which is normal to the surface in the case where the vector field is a gradient. If the vector field is not a gradient, we present several functional that may be minimized to give approximate solutions.

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