Design Innovation Paper

Building Three-Dimensional Scanner Based on Structured Light Technique Using Fringe Projection Pattern

[+] Author and Article Information
Hossein Rashidizad

Department of Manufacturing Engineering,
Dezfoul Branch, Islamic Azad University,
Daneshgah Blvd, Azadegan St, Dezfoul, Iran
e-mail: rashidizad@gmail.com

Abdolreza Rahimi

Department of Mechanical Engineering,
Amirkabir University of Technology,
424 Hafez Ave, Tehran, Iran
e-mail: rahimi@aut.ac.ir

1Corresponding author.

Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received January 24, 2014; final manuscript received March 15, 2014; published online April 28, 2014. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 14(3), 035001 (Apr 28, 2014) (4 pages) Paper No: JCISE-14-1032; doi: 10.1115/1.4027213 History: Received January 24, 2014; Revised March 15, 2014

This paper presents the design and construction of a low-cost active noncontact three-dimensional (3D) scanner using the structured light method. The applied method is a generalization of the triangulation technique using a fringe projection pattern (by Gray code technique) to achieve a higher operating speed. The hardware equipment includes a single digital camera and a video projector. matlab was used for the calibration operation, the production of images by the above method, the image processing, and data calculation; while the Geomagic Qualify software was used to estimate the accuracy of the three-dimensional model obtained after scanning and to compare it with the tested object. Regarding the point cloud of the test object, the results demonstrate the precision of the used method and the possibility of developing a 3D scanner with a dimensional accuracy of ±0.05 mm.

Copyright © 2014 by ASME
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Fig. 1

Triangulation principle

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Fig. 2

Triangulation by the intersection point of two space vectors (camera and projection ray)

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Fig. 3

Defining camera and world (reference) coordinate systems

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Fig. 4

Camera and video projector used as sensors of the 3D scanner

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Fig. 5

Calibration of the camera to obtain the intrinsic and extrinsic parameters

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Fig. 9

Point cloud of the scanned test object

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Fig. 8

Scanning operation by projecting structured light sequences based on Gray code encoding in horizontal and vertical patterns

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Fig. 6

Gray code sequences for use as structured light pattern (frames from top to bottom)




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