Top > IJAT > Digital Shape Reconstruction of a Micro-Sized Machining Tool U ...

single-au.php

IJAT Vol.10 No.2 pp. 172-178
doi: 10.20965/ijat.2016.p0172
(2016)

Paper:

Views over last 60 days: 1,090

Digital Shape Reconstruction of a Micro-Sized Machining Tool Using Light-Field Microscopy

Shin Usuki*,†, Masaru Uno**, and Kenjiro T. Miura**

*Research Institute of Electronics, Shizuoka University
3-5-1 Johoku, Naka-ku, Hamamatsu 432-8561, Japan

†Corresponding author,

**Graduate School of Engineering, Shizuoka University
3-5-1 Johoku, Naka-ku, Hamamatsu 432-8561, Japan

Received:
September 30, 2015
Accepted:
November 24, 2015
Online released:
March 4, 2016
Published:
March 5, 2016
Creative Commons License
Keywords:
shape reconstruction, light-field microscope, digital refocusing, shape from silhouette, 3D measurement
Abstract
In this paper, we propose a digital shape reconstruction method for micro-sized 3D (three-dimensional) objects based on the shape from silhouette (SFS) method that reconstructs the shape of a 3D model from silhouette images taken from multiple viewpoints. In the proposed method, images used in the SFS method are depth images acquired with a light-field microscope by digital refocusing (DR) of a stacked image along the axial direction. The DR can generate refocused images from an acquired image by an inverse ray tracing technique using a microlens array. Therefore, this technique provides fast image stacking with different focal planes. Our proposed method can reconstruct micro-sized object models including edges, convex shapes, and concave shapes on the surface of an object such as micro-sized defects so that damaged structures in the objects can be visualized. Firstly, we introduce the SFS method and the light-field microscope for 3D shape reconstruction that is required in the field of micro-sized manufacturing. Secondly, we show the developed experimental equipment for microscopic image acquisition. Depth calibration using a USAF1951 test target is carried out to convert relative value into actual length. Then 3D modeling techniques including image processing are implemented for digital shape reconstruction. Finally, 3D shape reconstruction results of micro-sized machining tools are shown and discussed.
Cite this article as:
S. Usuki, M. Uno, and K. Miura, “Digital Shape Reconstruction of a Micro-Sized Machining Tool Using Light-Field Microscopy,” Int. J. Automation Technol., Vol.10 No.2, pp. 172-178, 2016.
Data files:
References
  1. [1] N. S. Claxton, T. J. Fellers, and M. W. Davidson, “Laser scanning confocal microscopy,” Department of Optical Microscopy and Digital Imaging, National High Magnetic Field Laboratory, Florida State University, p. 37, Unpublished, 2005.
    http://www.aptechnologies.co.uk/images/Data/Vertilon/PP6207.pdf
    [Accessed February 22, 2016]
  2. [2] J. Pawley, “The development of field-emission scanning electron microscopy for imaging biological surfaces,” Scanning, Vol.19, No.5, pp. 324-336, 1997.
  3. [3] R. Howland and L. Benatar, “A Practical Guide to Scanning Probe Microscopy,” Park Scientific Instruments, 1993.
  4. [4] J. McDonald, “Optical Microscopy Microelectronics Failure Analysis,” Desk Reference Fifth Edition EDFAS, 2004.
  5. [5] S. K. Nayar and Y. Nakagawa, “Shape from Focus,” IEEE Trans. on Pattern Analysis and Machine Intelligence, pp. 824-831, 1994.
  6. [6] Y. Bando and T. Nishita, “Towards Digital Refocusing from a Single Photograph,” Pacific Graphics, pp. 363-372, 2007.
  7. [7] K. Atsushi, H. Sueyasu, Y. Funayama, and T. Maekawa, “System for reconstruction of three-dimensional micro objects from multiple photographic images,” Computer-Aided Degign, Vol.43, No.8, pp. 1045-1055, 2011.
  8. [8] H. Sueyasu and T. Maekawa, “3D shape evaluation of micro products using computer vision techniques,” IPSJ SIG Technical Report, Vol.146, No.8, 2012.
  9. [9] S. Usuki, M. Uno, and K. T. Miura, “Resolution-improved digital refocusing microscope for microstructure measurement,” Proc. of the 12th euspen Int. Conf., Vol.280, No.3, 2012.
  10. [10] M. Levoy, R. Ng, A. Adams, M. Footer, and M. Horowitz, “Light Field Microscopy,” ACM Trans. on Graphics, Vol.25, No.3, pp. 924-934, 2006.
  11. [11] R. Szeliski, “Rapid Octree Construction from Image Sequences,” CVGIP: Image Understanding, Vol.58, No.1, pp. 23-32, 1993.
  12. [12] W. E. Lorensen and H. E. Cline, “A High-Resolution 3D Surface Construction Algorithm,” ACM Computer Graphics, Vol.21, No.4, pp. 163-169, 1987.
  13. [13] D. Levin, “Mesh-Independent Surface Interpolation,” Geometric Modeling for Scien-tific Visualization, Vol.3, 2003.
  14. [14] S. Usuki and K. T. Miura, “High-Resolution Tolerance against Noise Imaging Technique Based on Active Shift of Optical Axis,” Int. J. Automation Technology, Vol.5, No.2, 2011.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Dec. 02, 2024