Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage

The main task of this paper is to describe methods and algorithms used in computer vision for fully automatic reconstruction of exterior orientation in ordered and unordered sets of images captured by digital calibrated cameras without prior informations about camera positions or scene structure. At...

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Main Authors: David Káňa, Vlastimil Hanzl
Format: Article
Language:English
Published: Czech Technical University in Prague 2012-12-01
Series:Geoinformatics FCE CTU
Subjects:
Online Access:https://ojs.cvut.cz/ojs/index.php/gi/article/view/2563
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author David Káňa
Vlastimil Hanzl
author_facet David Káňa
Vlastimil Hanzl
author_sort David Káňa
collection DOAJ
description The main task of this paper is to describe methods and algorithms used in computer vision for fully automatic reconstruction of exterior orientation in ordered and unordered sets of images captured by digital calibrated cameras without prior informations about camera positions or scene structure. Attention will be paid to the SIFT interest operator for finding key points clearly describing the image areas with respect to scale and rotation, so that these areas could be compared to the regions in other images. There will also be discussed methods of matching key points, calculation of the relative orientation and strategy of linking sub-models to estimate the parameters entering complex bundle adjustment. The paper also compares the results achieved with above system with the results obtained by standard photogrammetric methods in processing of project documentation for reconstruction of the Žinkovy castle.
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spelling doaj.art-a4b06782ebb24fb19d7121b62b433e092022-12-21T19:11:50ZengCzech Technical University in PragueGeoinformatics FCE CTU1802-26692012-12-0190273810.14311/gi.9.32353Application of Computer Vision Methods and Algorithms in Documentation of Cultural HeritageDavid Káňa0Vlastimil Hanzl1Geodis Brno, ltd, Lazaretní 11a, Brno, Czech RepublicBrno University of Technology, Faculty of Civil Engineering, Veveří 331/98, Brno, Czech ReThe main task of this paper is to describe methods and algorithms used in computer vision for fully automatic reconstruction of exterior orientation in ordered and unordered sets of images captured by digital calibrated cameras without prior informations about camera positions or scene structure. Attention will be paid to the SIFT interest operator for finding key points clearly describing the image areas with respect to scale and rotation, so that these areas could be compared to the regions in other images. There will also be discussed methods of matching key points, calculation of the relative orientation and strategy of linking sub-models to estimate the parameters entering complex bundle adjustment. The paper also compares the results achieved with above system with the results obtained by standard photogrammetric methods in processing of project documentation for reconstruction of the Žinkovy castle.https://ojs.cvut.cz/ojs/index.php/gi/article/view/2563computer vision, interest operator, matching
spellingShingle David Káňa
Vlastimil Hanzl
Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage
Geoinformatics FCE CTU
computer vision, interest operator, matching
title Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage
title_full Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage
title_fullStr Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage
title_full_unstemmed Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage
title_short Application of Computer Vision Methods and Algorithms in Documentation of Cultural Heritage
title_sort application of computer vision methods and algorithms in documentation of cultural heritage
topic computer vision, interest operator, matching
url https://ojs.cvut.cz/ojs/index.php/gi/article/view/2563
work_keys_str_mv AT davidkana applicationofcomputervisionmethodsandalgorithmsindocumentationofculturalheritage
AT vlastimilhanzl applicationofcomputervisionmethodsandalgorithmsindocumentationofculturalheritage