Eyes from Eyes

Authors:
Patrick Baker;Robert Pless;Cornelia Fermüller;Yiannis Aloimonos
Affiliations:
-;-;-;-
Venue:
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Year:
2000

Citing 4
Cited 2

Ambiguity in Structure from Motion: Sphere versus Plane

International Journal of Computer Vision
Effects of errors in the viewing geometry on shape estimation

Computer Vision and Image Understanding
Observability of 3D Motion

International Journal of Computer Vision - Special issue on image-based servoing
Structure from Motion: Beyond the Epipolar Constraint

International Journal of Computer Vision

A Minimal Solution to the Generalised 3-Point Pose Problem

Journal of Mathematical Imaging and Vision
On the choice and placement of wearable vision sensors

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.01

Visualization

Abstract

We describe a family of new imaging systems, called Argus eyes, that consist of common video cameras arranged in some network. The system we built consists of six cameras arranged so that they sample different parts of the visual sphere. This system has the capability of very accurately estimating its own 3D motion and consequently estimating shape models from the individual videos. The reason is that inherent ambiguities of confusion between translation and rotation disappear in this case. We provide an algorithm and several experiments using real outdoor or indoor images demonstrating the superiority of the new sensor with regard to 3D motion estimation.