1989 Fiscal Year Final Research Report Summary
Knowledge-based 3-D Vision System incorporating Geometric Modeler as Deep Knowledge
| Project/Area Number |
63460132
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| Research Category |
Grant-in-Aid for General Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
計算機工学
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| Research Institution | University of Tokyo |
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Principal Investigator |
ISHIZUKA Mitsuru Univ. of Tokyo, Institute of Industrial Science, Assoc. Prof., 生産技術研究所, 助教授 (50114369)
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| Project Period (FY) |
1988 – 1989
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| Keywords | Computer Vision / Image Understanding / 3-D Vision / Solid Modeler / Geometric Reasoning / Parallel Image Processor / Hypothetical Reasoning |
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| Research Abstract |
In order to construct advanced image understanding system, it is important to achieve the efficient use of geometric knowledge in the knowledge-based system scheme. In particular, the efficient use of solid modeler Is important if the target objects are artificial ones. We have developed a knowledge-based 3-D vision system incorporating a solid modeler and geometric reasoning.
The solid modeler allows the precise and reliable understanding of possible objects. Furthermore, it can be used to synthesize virtual images based on the understanding result. A geometric reasoning method based on the perspective geometry is employed to determine the position of pre-defined shapes in 3-D space from a single-view image. Different from other 3-D vision systems using geometric reasoning, no assumption has been made beforehand about the position and orientation of the possible object; therefore, there are six degrees of freedom.
The synthesized image from solid modeler is effectively used to verify the hypothesis computed from the edge information extracted the observed image. To lesson the inefficiency of using the mathematical geometric method in the whole understanding process, we have introduced a plane recognition process in an intermediate stage.
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