3D DIGITAL RECONSTRUCTION BASED ON ARCHIVED TERRESTRIAL PHOTOGRAPHS FROM METRIC CAMERAS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00324823" target="_blank" >RIV/68407700:21110/19:00324823 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.14311/AP.2019.59.0384" target="_blank" >https://doi.org/10.14311/AP.2019.59.0384</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14311/AP.2019.59.0384" target="_blank" >10.14311/AP.2019.59.0384</a>

Result language
angličtina
Original language name
3D DIGITAL RECONSTRUCTION BASED ON ARCHIVED TERRESTRIAL PHOTOGRAPHS FROM METRIC CAMERAS
Original language description
The paper deals with the possibilities and limitations of the image-processing of digitalized terrestrial photographs from analogue metric cameras. By the end of the 20th century, analogue metric cameras, such as Zeiss UMK, were used for documentation purposes in the fields of industrial and investment construction, nature and landscape preservation, heritage preservation, etc. Currently, the collections of photographs are stored at specialized archives of many different institutions, such as libraries, museums, universities, etc. These sets of photographs provide background material for a 3D digital reconstruction of a subject of interest at the time of photography. The digital image-processing of old photographs may be more difficult due to unknown parameters of the used camera, such as the focal distance, image coordinates of fiducial marks and distortion parameters of the lens system, etc. In this case, it may be difficult to process these photographs in photogrammetric software. The paper presents a methodology for the digital photogrammetric processing of analogue terrestrial photographs. The data-processing is based on the parameters of the used metric cameras, which are described in their calibration reports.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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