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Laser Triangulation for 3D Profiling of Target

by Akash Malhotra, Kunal Gupta, Kamal Kant
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 35 - Number 8
Year of Publication: 2011
Authors: Akash Malhotra, Kunal Gupta, Kamal Kant
10.5120/4424-6159

Akash Malhotra, Kunal Gupta, Kamal Kant . Laser Triangulation for 3D Profiling of Target. International Journal of Computer Applications. 35, 8 ( December 2011), 47-50. DOI=10.5120/4424-6159

@article{ 10.5120/4424-6159,
author = { Akash Malhotra, Kunal Gupta, Kamal Kant },
title = { Laser Triangulation for 3D Profiling of Target },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 35 },
number = { 8 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume35/number8/4424-6159/ },
doi = { 10.5120/4424-6159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:54.260982+05:30
%A Akash Malhotra
%A Kunal Gupta
%A Kamal Kant
%T Laser Triangulation for 3D Profiling of Target
%J International Journal of Computer Applications
%@ 0975-8887
%V 35
%N 8
%P 47-50
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a simple and low occlusion laser triangulation based 3D scanner with one laser and one high quality web camera is proposed. Laser triangulation technique is used to find the depth of any object. Also finding the angle between incident laser ray and the reflected ray captured by the webcam is one of the critical issues in 3D laser scanning. A simple procedure is proposed to accurately find the same. The scanner design is straightforward, involving simple trigonometry for finding the depth. Its range is small but the accuracy is relatively high then time-of-flight technique. The price of components used also affect the accuracy of the laser scanner. The scanner we have proposed eliminates the need of two lasers, two web cameras and calibration of moving components.

References
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  2. Ali Peiravi, Behrai Taabbodi “A Reliable 3D Laser Triangulation-based Scanner with a New Simple but Accurate Procedure for Finding Scanner Parameters”, Journal of American Science 2010;6(5), page no. 80- 81
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Index Terms

Computer Science
Information Sciences

Keywords

Laser triangulation 3D laser scanner Printer port Laser line thinning Low occlusion