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

Yuan Li; Isao Ohmura; Hidenori Takauji; Shun'ichi Kaneko; Takayuki Tanaka

doi:10.1117/12.736748

29 May 2007 Robust focusing by orientation code matching and its application to depth reconstruction

Yuan Li, Isao Ohmura, Hidenori Takauji, Shun'ichi Kaneko, Takayuki Tanaka

Author Affiliations +

Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 635610 (2007) https://doi.org/10.1117/12.736748
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France

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.

Citation Download Citation

Yuan Li, Isao Ohmura, Hidenori Takauji, Shun'ichi Kaneko, and Takayuki Tanaka "Robust focusing by orientation code matching and its application to depth reconstruction", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 635610 (29 May 2007); https://doi.org/10.1117/12.736748

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