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

Luxman, Ramamoorthy; Castro, Yuly; Chatoux, Hermine; Nurit, Marvin; Σιάτου, Αμαλία; Goïc, Gaëtan Le; Brambilla, Luca; Degrigny, Christian; Marzani, Franck; Mansouri, Alamin

doi:10.3390/jimaging8050134

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…PTM (polynomial texture map) or RTI (reflectance transformation imaging) models are generated from multiple photographs of an object taken from a stationary camera. The light that is projected into each photograph comes from different known directions [33][34][35][36][37]. Based on the lighting information in the images, a mathematical model of the surface is produced, which enables the user to inspect the object by re-lighting it interactively.…”

Section: Rti/ptm and Portable Light Domementioning

confidence: 99%

Cuneiform Tablets Micro-Surveying in an Optimized Photogrammetric Configuration

2022

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In the current panorama of 3D digital documentation, the survey of tiny artifacts with micrometric details is strongly influenced by two factors: firstly, the still high cost of the instruments and technologies (active sensors) required to achieve the necessary level of accuracy and resolution; secondly, the needed professional skills for the macro-photogrammetric approach. In this context, this research aims to meet the demand for a digital survey and 3D representation of small objects with complex surfaces and sub-millimeter morphological characteristics using a low-cost configuration (passive sensors) for an image-based approach. The experiments concerned cuneiform tablets, which are challenging due to their morphological and geometrical characteristics. The digital replica of these unique artefacts can be helpful for their study and interpretation and many innovative applications: access and sharing, a collaborative interdisciplinary study among several experts, experimentation with machine learning for automatic character recognition, and linguistic studies. The micrometric surveying system described proves to be an efficient and reliable solution for cuneiform tablet digitization and documentation.

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Section: Rti/ptm and Portable Light Domementioning

confidence: 99%

Cuneiform Tablets Micro-Surveying in an Optimized Photogrammetric Configuration

2022

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“…The principle of this technique is illustrated in Figure 1, where PTM, HSH, and DMD are RTI reconstruction models and stand for Polynomial Texture Mappings, Hemispherical Harmonics, and Discrete Modal Decomposition, respectively. Many new RTI acquisition modalities have recently been developed, including multispectral approaches [34,35], approaches to measure the complete luminance dynamic (HD-RTI, [36][37][38]) self-adaptive approaches to determine the relevant lighting directions (NBLP-RTI, [39]), and even robot-based RTI systems [40]. Within the framework of this research, we focus on the RTI acquisition parameters associated with the conventional approach.…”

Section: Reflectance Transformation Imagingmentioning

confidence: 99%

Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection

et al. 2022

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This work investigates the use of Reflectance Transformation Imaging (RTI) rendering for visual inspection. This imaging technique is being used more and more often for the inspection of the visual quality of manufactured surfaces. It allows reconstructing a dynamic virtual rendering of a surface from the acquisition of a sequence of images where only the illumination direction varies. We investigate, through psychometric experimentation, the influence of different essential parameters in the RTI approach, including modeling methods, the number of lighting positions and the measurement scale. In addition, to include the dynamic aspect of perception mechanisms in the methodology, the psychometric experiments are based on a design of experiments approach and conducted on reconstructed visual rendering videos. The proposed methodology is applied to different industrial surfaces. The results show that the RTI approach can be a relevant tool for computer-aided visual inspection. The proposed methodology makes it possible to objectively quantify the influence of RTI acquisition and processing factors on the perception of visual properties, and the results obtained show that their impact in terms of visual perception can be significant.

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“…Although the two types of RTI systems described above account for the great majority of RTI acquisition devices, new options are emerging with the goal of meeting varied demands. Particularly, two new alternative acquisition approaches, have gained importance in recent years: The robotic armbased [12] and the dronebased [13] acquisition setups.…”

Section: Introductionmentioning

confidence: 99%

Extended Framework for Multispectral RTI

Castro¹,

Σιάτου²,

Rossé³

et al. 2022

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Reflectance transformation imaging (RTI) is a widespread technique for studying and documenting cultural heritage artifacts encompassing textural information. The principle is capturing an object from a static camera position by changing the direction of the incident light in each image. The coupling of this approach with multispectral imaging (Multispectral RTI) has shown promising results in the recent years. Considering this approach, we propose an expanded framework for the investigation and documentation of the visual appearance of surfaces, targeted to cultural heritage artifacts. In this work, we study the integrated representation of the angular and spectral components of reflectance, as well as the contributions of exploration by independent wavelengths.

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

Cited by 10 publications

References 17 publications

Cuneiform Tablets Micro-Surveying in an Optimized Photogrammetric Configuration

Cuneiform Tablets Micro-Surveying in an Optimized Photogrammetric Configuration

Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection

Extended Framework for Multispectral RTI

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