NDLI: Omni-Rig sensors: what can be done with a non-rigid vision platform?

Content Provider	IEEE Xplore Digital Library
Author	Shashua, A.
Copyright Year	1998
Description	Author affiliation: Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel (Shashua, A.)
Abstract	We describe the principles of building a moving vision platform (a Rig) that once calibrated can thereon self-adjust to changes in its internal configuration and maintain an Euclidean representation of the 3D world using only projective measurements. Formally, we address the question of how to obtain an invariant 3D projective representation from a dynamic collection of cameras. We show that the maximal generality is reached when the rig consists of 5 cameras whose center of projection remain fixed relative to each other during the motion. In other words, the non-rigid component motion may consist of change of internal parameters and relative camera orientations. The configuration reduces to 3 views when the Rig is built using a single physical camera with half-mirrors (beam-splitters) for creating 3 distinct views. We also briefly discuss 2-view configurations using half-mirrors and the principle behind adapting the configuration to allow for zoom lenses in the system. The new research paradigm on non-rigid rigs (we term "Omni-Rig") is applicable to the design of Vision-based sensors that after calibration can move in space while changing critical elements of their configuration-such as changing focus on the fly, zoom, relative camera orientation and inclination of focal plane to object's surface orientation-without the need for recalibration, i.e., using only projective calculations throughout its motion.
Starting Page	174
Ending Page	179
File Size	658676
Page Count	6
File Format	PDF
ISBN	0818686065
DOI	10.1109/ACV.1998.732876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Computer science Robot vision systems Image recognition Rendering (computer graphics) Computer graphics Mirrors Lenses Calibration Machinery
Content Type	Text
Resource Type	Article

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