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Laser stripe peak detector for 3D scanners: a FIR filter approach

The accuracy of a 3D reconstruction using laser scanners is significantly determined by the detection of the laser stripe. Since the energy pattern of such a stripe corresponds to a Gaussian profile, it makes sense to detect the point of maximum light intensity (or peak) by computing the zero-crossing point of the first derivative of such Gaussian profile. However, because noise is present in every physical process, such as electronic image formation, it is not sensitive to perform the derivative of the image of the stripe in almost any situation, unless a previous filtering stage is done. Considering that stripe scanning is an inherently row-parallel process, every row of a given image must be processed independently in order to compute its corresponding peak position in the row. This paper reports on the use of digital filtering techniques in order to cope with the scanning of different surfaces with different optical properties and different noise levels, leading to the proposal of a more accurate numerical peak detector, even at very low signal-to-noise ratios

© Proceedings of the 17th International Conference on Pattern Recognition, 2004, vol. 3, p. 646-649

IEEE

Author: Forest Collado, Josep
Salvi, Joaquim
Cabruja i Casas, Enric
Pous i Sabadí, Carles
Date: 2004
Abstract: The accuracy of a 3D reconstruction using laser scanners is significantly determined by the detection of the laser stripe. Since the energy pattern of such a stripe corresponds to a Gaussian profile, it makes sense to detect the point of maximum light intensity (or peak) by computing the zero-crossing point of the first derivative of such Gaussian profile. However, because noise is present in every physical process, such as electronic image formation, it is not sensitive to perform the derivative of the image of the stripe in almost any situation, unless a previous filtering stage is done. Considering that stripe scanning is an inherently row-parallel process, every row of a given image must be processed independently in order to compute its corresponding peak position in the row. This paper reports on the use of digital filtering techniques in order to cope with the scanning of different surfaces with different optical properties and different noise levels, leading to the proposal of a more accurate numerical peak detector, even at very low signal-to-noise ratios
Format: application/pdf
Citation: Forest, J., Salvi, J., Cabruja, E., i Pous, C. (2004). Laser stripe peak detector for 3D scanners. A FIR filter approach. Proceedings of the 17th International Conference on Pattern Recognition : 2004 : ICPR 2004, 3, 646-649. Recuperat 14 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1334612
ISBN: 0-7695-2128-2
ISSN: 1051-4651
Document access: http://hdl.handle.net/10256/2296
Language: eng
Publisher: IEEE
Collection: Articles publicats (D-ATC)
Is part of: © Proceedings of the 17th International Conference on Pattern Recognition, 2004, vol. 3, p. 646-649
Rights: Tots els drets reservats
Subject: Detectors òptics
Escombratge, Tècniques d’
Filtres digitals (Matemàtica)
Visualització tridimensional (Informàtica)
Digital filtering
Optical detectors
Scanning systems
Three-dimensional display systems
Title: Laser stripe peak detector for 3D scanners: a FIR filter approach
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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