Paper Info
Title
Catadioptric camera calibration using geometric invariants.
Abstract
Central catadioptric cameras are imaging devices that use mirrors to enhance the field of view while preserving a single effective viewpoint. In this paper, we propose a novel method for the calibration of central catadioptric cameras using geometric invariants. Lines and spheres in space are all projected into conics in the catadioptric image plane. We prove that the projection of a line can provide three invariants whereas the projection of a sphere can only provide two. From these invariants, constraint equations for the intrinsic parameters of catadioptric camera are derived. Therefore, there are two kinds of variants of this novel method. The first one uses projections of lines and the second one uses projections of spheres. In general, the projections of two lines or three spheres are sufficient to achieve catadioptric camera calibration. One important conclusion in this paper is that the method based on projections of spheres is more robust and has higher accuracy than that based on projections of lines. The performances of our method are demonstrated by both the results of simulations and experiments with real images.
Year
DOI
Venue
2003
10.1109/TPAMI.2004.79
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
geometric invariant,calibration,omnidirectional vision,novel method,panoramic vision.,index terms- camera calibration,geometric invariants,conic fitting,central catadioptriccameras,catadioptric camera,line projection,imaging device,computational geometry,thecatadioptric camera calibration,imaging devices,anovel method,catadioptric image plane,constraint equations,catadioptric camera calibration,central catadioptric camera calibration,uses projection,cameras,constraint equation,sphere projection,higher accuracy,computer vision,intrinsic parameters,mirrors,central catadioptric camera,real images,uses theprojections,ofcatadioptric camera,catadioptric image plane aswell,virtual reality,machine vision,camera calibration,image based rendering,conics,field of view,spheres
Conference
26
Issue
ISSN
ISBN
10
0162-8828
0-7695-1950-4
Citations 
PageRank 
References 
67
3.55
24
Authors
2
Name
Order
Citations
PageRank
Xianghua Ying122123.55
Zhanyi Hu283062.32