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

Volume

2

fYear

2001

fDate

2001

Firstpage

108

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7695-1143-0

Type

conf

DOI

10.1109/ICCV.2001.937611

Filename

937611