Theoretical analysis on imaging technique of local unevennesses occurred on specular surface objects

Author:

HIROSE Tomohiro1,WATANABE Keiichi1,SATO Yasumoto1,KITAYAMA Tsunaji1,SUHARA Katsuhiro2,CHOKUSHI Yuuto2,SUZUKI Tetsuya2,KATO Takehiko2

Affiliation:

1. Toyota Central R&D Labs., Inc.

2. Toyoda Gosei Co., Ltd.

Publisher

Japan Society of Mechanical Engineers

Reference15 articles.

1. Cha, Y. –J., Choi, W. and Büyüköztürk, O., Deep learning-based crack damage detection using convolutional neural networks, Computer-aided civil and infrastructure engineering, Vo.32, No.5 (2017), pp.361–378.

2. Ebisawa, M., Suzuki, A., Takahashi, Y.,Nitta, S., Watanabe, Y., Shibata, H. and Kojima, H., Surface inspection apparatus and surface inspection method, Japanese Patent disclosure 2014-2041 (2014).

3. Häusler, G. and Ettl, S., edited by Leach, R., Limitation of optical 3D sensors, Optical measurement of surface topography (2011), pp.23–48, Springer.

4. Hicks, R. A. and Perline, R. K., Blind-spot problem for motor vehicles, Applied Optics, Vol.44, No.19 (2005), pp.3893–3897.

5. Kanno, S., Defect detection technology for mirror-painted products, Plastics, Vol.64, No.7 (2013), pp.22–25 (in Japanese).

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