Paper
1 February 1991 Model group indexing for recognition
David T. Clemens, David W. Jacobs
Author Affiliations +
Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25132
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
To avoid the excessive computation of testing all combinations of feature matches groups of model features can be arranged in an index space offline (hashed). Ideally each image group should index into the space and find only those model groups that could have formed that image group. We prove an unexpected tight lower bound on the space required for such an indexing scheme for point features 3D models and 2D images and consider some implementation issues.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David T. Clemens and David W. Jacobs "Model group indexing for recognition", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25132
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
3D modeling

Visual process modeling

Computer vision technology

Machine vision

3D image processing

Robot vision

Robots

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