• Reconstructing images of barco...

Treffer: Reconstructing images of barcodes for construction site object recognition

Title:
Reconstructing images of barcodes for construction site object recognition
Authors:
GILSINN, David E, CHEOK, Geraldine S, O'LEARY, Dianne P
Source:
The best of ISARC 2002Automation in construction. 13(1):21-35
Publisher Information:
Amsterdam: Elsevier, 2004.
Publication Year:
2004
Physical Description:
print, 3 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Civil engineering, Génie civil, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Batiment. Travaux publics, Buildings. Public works, Travaux de construction, Construction works, Organisation des chantiers, Site organization, Chantier construction, Building site, Obra, Code barre, Bar code, Código barra, Congrès international, International conference, Congreso internacional, Déconvolution, Deconvolution, Desconvolución, Matrice creuse, Sparse matrix, Matriz dispersa, Modèle 3 dimensions, Three dimensional model, Modelo 3 dimensiones, Modèle mathématique, Mathematical model, Modelo matemático, Objet, Object, Objeto, Reconnaissance automatique, Automatic recognition, Reconocimiento automático, Traitement image, Image processing, Procesamiento imagen, Traitement informatique, Computerized processing, Tratamiento informático, LADAR, Barcodes, Object recognition
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
National Institute of Standards and Technology (NIST), Information Technology Laboratory, Mathematical and Computational Sciences Division, Gaithersburg, MD 20899-8910, United States
NIST, Building and Fire Research Laboratory, Construction Metrology and Automation Group, Gaithersburg, MD 20899-8611, United States
Computer Science Department, University of Maryland, College Park, MD 20742, United States
ISSN:
0926-5805
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=15378150
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering
Accession Number:
edscal.15378150
Database:
PASCAL Archive

Weitere Informationen

This work investigates the potential for using LADAR to read barcodes at a range of 10-40 m. The first step is to choose appropriate materials for the barcode and collect data for both the images of bars at various distances and the characteristics of the LADAR beam. The second step is to develop a mathematical model for how intensity images are distorted by LADAR optics and to study how the images might be reconstructed. Our model is a linear convolution equation, and we solve for the original image through a regularized least squares problem. We present the results of our experiments along with evidence that the proprietary LADAR data processing introduces considerable nonlinearities, which must be understood in order to achieve good reconstructions.