Title :
A general imaging model and a method for finding its parameters
Author :
Grossberg, Michael D. ; Nayar, Shree K.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
Linear perspective projection has served as the dominant imaging model in computer vision. Recent developments in image sensing make the perspective model highly restrictive. This paper presents a general imaging model that can be used to represent an arbitrary imaging system. It is observed that all imaging systems perform a mapping from incoming scene rays to photo-sensitive elements on the image detector. This mapping can be conveniently described using a set of virtual sensing elements called raxels. Raxels include geometric, radiometric and optical properties. We present a novel calibration method that uses structured light patterns to extract the raxel parameters of an arbitrary imaging system. Experimental results for perspective as well as ion-perspective imaging systems are included
Keywords :
calibration; computer vision; arbitrary imaging system; computer vision; dominant imaging model; general imaging model; image sensing; linear perspective projection; optical properties; raxels; scene rays; virtual sensing elements; Calibration; Cameras; Computer vision; Eyes; Layout; Lenses; Mirrors; Optical distortion; Optical imaging; Optical sensors;
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
DOI :
10.1109/ICCV.2001.937611
