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Proceedings Paper

Robust focusing by orientation code matching and its application to depth reconstruction
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Paper Abstract

This paper has mainly discussed about two problems, object focusing and depth measurement. First, we propose a novel and robust scheme of image focusing by introducing a new measure of focusing based on Orientation code matching. A new evaluation function, named Complemental pencil volume, CPV, is defined and calculated to represent local sharpness of images, either in or out of focus, by comparing the similarity between any patterns extracted at the same position within their own scenes. An identified and unique maximum or peek, which of ill-condition scenes with low contrast observations. Experiments show that the OCM-based focusing is very robust to change in brightness, and to even more irregularities in the real imaging system, like dark condition. Second, based on this robust focusing technique, we applied it to an image sequence of an object surface to measure the depth of profile. A simple plane object surface has been implemented to demonstrate the basic approach. The results showed the successful and precision depth measurement of this object.

Paper Details

Date Published: 29 May 2007
PDF: 8 pages
Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 635610 (29 May 2007); doi: 10.1117/12.736748
Show Author Affiliations
Yuan Li, Hokkaido Univ. (Japan)
Isao Ohmura, Hokkaido Industrial Research Institute (Japan)
Hidenori Takauji, Hokkaido Univ. (Japan)
Shun'ichi Kaneko, Hokkaido Univ. (Japan)
Takayuki Tanaka, Hokkaido Univ. (Japan)

Published in SPIE Proceedings Vol. 6356:
Eighth International Conference on Quality Control by Artificial Vision

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