Geometrical Modeling from Multiple Stereo Views

The components of the Sheffield Artificial Intelligence Vision Research Unit (AIVRU) three-dimensional (3D) vision sys tem, which currently supports model-based object recognition and location, are described. Its potential for robotics applica tions is demonstrated by its guidance of a Universal Mac...

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Bibliographic Details
Published in:The International journal of robotics research 1989-08, Vol.8 (4), p.3-32
Main Authors: Pollard, S.B., Pridmore, T.P., Porrill, J., Mayhew, J.E.W., Frisby, J.P.
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Image processing
Information, signal and communications theory
Signal processing
Telecommunications and information theory
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Summary:The components of the Sheffield Artificial Intelligence Vision Research Unit (AIVRU) three-dimensional (3D) vision sys tem, which currently supports model-based object recognition and location, are described. Its potential for robotics applica tions is demonstrated by its guidance of a Universal Machine Intelligence robot arm in a pick-and-place task. The system comprises (1) the recovery of a sparse depth map using edge- based, passive stereo triangulation; (2) the grouping, descrip tion, and segmentation of edge segments to recover a 3D representation of the scene geometry in terms of straight lines and circular arcs; (3) the statistical combination of 3D de scriptions for object model creation from multiple stereo views and the propagation of constraints for within-view re finement ; and (4) the matching of 3D wireframe object models to 3D scene descriptions in order to recover an initial estimate of their position and orientation.
ISSN:0278-3649
1741-3176
DOI:10.1177/027836498900800401