A spherical eye from multiple cameras (makes better models of the world)

Author

Baker, Patrick ; Fermüller, Cornelia ; Aloimonos, Yiannis ; Pless, Robert

Author_Institution

Comput. Vision Lab., Maryland Univ., College Park, MD, USA

Volume

1

fYear

2001

fDate

2001

Abstract

The paper describes an imaging system that has been designed specifically for the purpose of recovering egomotion and structure from video. The system consists of six cameras in a network arranged so that they sample different parts of the visual sphere. This geometric configuration has provable advantages compared to small field of view cameras for the estimation of the system´s own motion and consequently the estimation of shape models from the individual cameras. The reason is that inherent ambiguities of confusion between translation and rotation disappear. We provide algorithms for the calibration of the system and 3D motion estimation. The calibration is based on a new geometric constraint that relates the images of lines parallel in space to the rotation between the cameras. The 3D motion estimation uses a constraint relating structure directly to image gradients.

Keywords

calibration; image sampling; motion estimation; video cameras; video signal processing; 3D motion estimation; camera network; egomotion recovery; geometric configuration; geometric constraint; image gradients; imaging system; multiple cameras; shape models; spherical eye; system calibration; video; visual sphere sampling; Calibration; Cameras; Computer vision; Laboratories; Layout; Motion estimation; Pixel; Robot vision systems; Shape; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on

ISSN

1063-6919

Print_ISBN

0-7695-1272-0

Type

conf

DOI

10.1109/CVPR.2001.990525

Filename

990525