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J. Imaging
Volume 8
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10.3390/jimaging8050134
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Article

LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces

by
Ramamoorthy Luxman
1,*,
Yuly Emilia Castro
1,
Hermine Chatoux
1,
Marvin Nurit
1,
Amalia Siatou
1,2,
Gaëtan Le Goïc
1,
Laura Brambilla
2,
Christian Degrigny
2,
Franck Marzani
1 and
Alamin Mansouri
1
1
Laboratory of Imaging and Artificial Vision, Université de Bourgogne Franche-Compté, 21000 Dijon, France
2
Haute Ecole Arc Conservation-Restauration, HES-SO, University of Applied Sciences and Arts Western Switzerland, 2000 Neuchâtel, Switzerland
*
Author to whom correspondence should be addressed.
J. Imaging 2022, 8(5), 134; https://doi.org/10.3390/jimaging8050134
Submission received: 1 March 2022 / Revised: 30 April 2022 / Accepted: 5 May 2022 / Published: 12 May 2022
(This article belongs to the Special Issue Computer Vision and Robotics for Cultural Heritage: Theory and Applications)
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Abstract

Multi-light acquisitions and modeling are well-studied techniques for characterizing surface geometry, widely used in the cultural heritage field. Current systems that are used to perform this kind of acquisition are mainly free-form or dome-based. Both of them have constraints in terms of reproducibility, limitations on the size of objects being acquired, speed, and portability. This paper presents a novel robotic arm-based system design, which we call LightBot, as well as its applications in reflectance transformation imaging (RTI) in particular. The proposed model alleviates some of the limitations observed in the case of free-form or dome-based systems. It allows the automation and reproducibility of one or a series of acquisitions adapting to a given surface in two-dimensional space.
Keywords: reflectance transformation imaging (RTI); cultural heritage; robotic acquisition; RTI stitching reflectance transformation imaging (RTI); cultural heritage; robotic acquisition; RTI stitching

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MDPI and ACS Style

Luxman, R.; Castro, Y.E.; Chatoux, H.; Nurit, M.; Siatou, A.; Le Goïc, G.; Brambilla, L.; Degrigny, C.; Marzani, F.; Mansouri, A. LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces. J. Imaging 2022, 8, 134. https://doi.org/10.3390/jimaging8050134

AMA Style

Luxman R, Castro YE, Chatoux H, Nurit M, Siatou A, Le Goïc G, Brambilla L, Degrigny C, Marzani F, Mansouri A. LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces. Journal of Imaging. 2022; 8(5):134. https://doi.org/10.3390/jimaging8050134

Chicago/Turabian Style

Luxman, Ramamoorthy, Yuly Emilia Castro, Hermine Chatoux, Marvin Nurit, Amalia Siatou, Gaëtan Le Goïc, Laura Brambilla, Christian Degrigny, Franck Marzani, and Alamin Mansouri. 2022. "LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces" Journal of Imaging 8, no. 5: 134. https://doi.org/10.3390/jimaging8050134

APA Style

Luxman, R., Castro, Y. E., Chatoux, H., Nurit, M., Siatou, A., Le Goïc, G., Brambilla, L., Degrigny, C., Marzani, F., & Mansouri, A. (2022). LightBot: A Multi-Light Position Robotic Acquisition System for Adaptive Capturing of Cultural Heritage Surfaces. Journal of Imaging, 8(5), 134. https://doi.org/10.3390/jimaging8050134

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