Title :
Catadioptric sensors that approximate wide-angle perspective projections
Author :
Hicks, R. Andrew ; Bajcsy, Ruzena
Author_Institution :
Dept. of Math. & Comput. Sci., Drexel Univ., Philadelphia, PA, USA
Abstract :
We present two families of reflective surfaces that are capable of providing a wide field of view, and yet still approximate a perspective projection to a high degree. These surfaces are derived by considering a plane perpendicular to the axis of a surface of revolution and finding the equations governing the distortion of the image of the plane in this surface. We then view this relation as a differential equation and prescribe the distortion term to be linear. By choosing appropriate initial conditions for the differential equation and solving it numerically, we derive the surface shape and obtain a precise estimate as to what degree the resulting sensor can approximate a perspective projection. Thus these surfaces act as computational sensors, allowing for a wide-angle perspective view of a scene without processing the image in software. The applications of such a sensor should be numerous, including surveillance, robotics and tradition photography
Keywords :
computer vision; image sensors; catadioptric sensors; computational sensors; image sensors; reflective surfaces; wide-angle perspective projections; Cameras; Differential equations; Image sensors; Lenses; Mirrors; Photography; Robot sensing systems; Robot vision systems; Shape; Surveillance;
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0662-3
DOI :
10.1109/CVPR.2000.855867