DocumentCode :
3207874
Title :
The method of vector fields for catadioptric sensor design with applications to panoramic imaging
Author :
Hicks, R. Andrew ; Perline, Ronald K.
Author_Institution :
Dept. of Mathematics, Drexel Univ., Philadelphia, PA, USA
Volume :
2
fYear :
2004
fDate :
27 June-2 July 2004
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.
Keywords :
image processing; image sensors; vectors; catadioptric sensor; image plane object surface; linear system; panoramic imaging; vector fields method; Assembly; Cameras; Computer vision; Costs; Image sensors; Lenses; Linear systems; Mathematics; Mirrors; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2158-4
Type :
conf
DOI :
10.1109/CVPR.2004.1315156
Filename :
1315156
Link To Document :
بازگشت