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http://hdl.handle.net/20.500.12386/35604
Title: | A-central model for the geometric calibration of hyper-hemispherical lenses | Authors: | SIMIONI, Emanuele PERNECHELE, Claudio Erb, Wolfgang Marchini, Andrea MARTINI, Paolo LESSIO, Luigi PENASA, Luca Beghini, Monica |
Issue Date: | 2024 | Journal: | OPTICS EXPRESS | Number: | 32 | Issue: | 20 | First Page: | 34777 | Abstract: | Hyper-hemispherical lenses are optical objective lenses with an ultra-wide field of view. Due to their extreme field of view, the geometric calibration introduces several setup difficulties. Various methods have been developed for simplifying the geometric calibration of a camera in the close-range field by defining intrinsic and extrinsic calibration parameters in a limited ambience of a clean room and taking advantage of simple calibration chessboards. A well-known example in this regard is Zhang’s approach for pinhole cameras. A similar approach was pursued by Scaramuzza to model more extensive cameras that include fisheye and panoramic lenses. However, despite this toolbox’s efficiency, it is ineffectual in the case of a hyper-hemispherical lens because of model limitations in the approximation of the corresponding projection system. In this study, we define and validate what we believe to be a novel a-central model extension (AME) for the description of hyper-hemispherical lenses that is able to overcome these limitations and to describe more accurately the physical behavior introduced by the design of these lenses. For this apparently new a-central model, we obtain significantly improved calibration results for one of the cameras designed in our laboratory and planned to become a planetary payload of an ESA mission. | URI: | http://hdl.handle.net/20.500.12386/35604 | URL: | https://opg.optica.org/oe/fulltext.cfm?uri=oe-32-20-34777&id=559666 https://api.elsevier.com/content/abstract/scopus_id/85205006176 |
ISSN: | 1094-4087 | DOI: | 10.1364/OE.527318 | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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File | Description | Size | Format | |
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2024_Simioni_AcentralModel.pdf | Manuscript | 5.22 MB | Adobe PDF | View/Open |
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