CAMORPH: A TOOLBOX FOR CONVERSION BETWEEN CAMERA PARAMETER CONVENTIONS

Autor: B. Brand, M. Bätz, J. Keinert
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-W1-2022, Pp 29-36 (2022)
Druh dokumentu: article
ISSN: 1682-1750
2194-9034
DOI: 10.5194/isprs-archives-XLVIII-2-W1-2022-29-2022
Popis: Defining or estimating camera poses and attributes is a vital part of computer graphics and computer vision. These areas encompass a vast amount of sub-fields like virtual reality, photogrammetry, computer generated imagery and many more. It is desirable to share this camera data between applications of these different areas to leverage their strengths in a workflow. However, a great amount of formats and conventions make it difficult to transport camera parameters from one software package to another. This paper presents an easy to use python library camorph to convert different formats into each other which enables the usage of a multi-software workflow for the best possible results and facilitates the comparison of different methods.
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