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Real time 3D Shape Recognition Using Image Moment-Based Features

Summary

There is outstanding capability which carries out form recognition of the object at three dimensions in man's eyes, and an object can be spatially understood and recognized from a picture also to the object which has any complicated form. When taking the action corresponding to an object irrespective of contact and un-contacting, we can say that this capability is indispensable. The purpose of this research applies this capability to a robot.

In this presentation, a 3D shape recognition algorithm using a high-speed vision and an active lightning device is proposed. In this algorithm, by giving strong point light to a target, an elliptical shading pattern is produced. Using a high-speed vision the moment parameters of the shading pattern is observed at a rate of 1 kHz, and the target surface is reconstructed from the moment parameters.




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Reference

  1. Yoshio UGAI, Akio NAMIKI and Masatoshi ISHIKAWA. 3D Shape Recognition Using High Speed Vision and Active Lightning Device. The 4th SICE System Integration Division Annual Conference (SI2003) (Tokyo, Japan, 2003.12.19) / Proceedings, pp. 113-114, Dec. 2003.
Ishikawa Oku Laboratory, Department of Information Physics and Computing, Department of Creative Informatics,
Graduate School of Information Science and Technology, University of Tokyo
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