Paper
1 March 1992 Trinocular vision: a 3-D solution
Flavio Bortolozzi, Bernard Dubuisson
Author Affiliations +
Abstract
This paper presents a solution for the following problems: matching between trinocular images, full reconstruction of 3-D segments without the length constraint, elimination of false triplets. In a first step, cameras are calibrated. This provides high precision perspective transformation matrices and defines the geometry of the system. This approach is used to help the perception of a mobile robot. Our approach for matching is a geometry-based one.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Flavio Bortolozzi and Bernard Dubuisson "Trinocular vision: a 3-D solution", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135086
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Cameras

3D vision

Robots

Computer vision technology

Machine vision

Robot vision

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