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Enhancing Image-Based Multiscale Heritage Recording with Near-Infrared Data

1
Università degli Studi di Torino - DI, Corso Svizzera, 185 – 10149 Torino, Italy
2
Politecnico di Torino - DAD, Viale P.A. Mattioli, 39 – 10125 Torino, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(4), 269; https://doi.org/10.3390/ijgi9040269
Received: 16 March 2020 / Revised: 1 April 2020 / Accepted: 16 April 2020 / Published: 20 April 2020
Passive sensors, operating in the visible (VIS) spectrum, have widely been used towards the trans-disciplinary documentation, understanding, and protection of tangible cultural heritage (CH). Although, many heritage science fields benefit significantly from additional information that can be acquired in the near-infrared (NIR) spectrum. NIR imagery, captured for heritage applications, has been mostly investigated with two-dimensional (2D) approaches or by 2D-to-three-dimensional (3D) integrations following complicated techniques, including expensive imaging sensors and setups. The availability of high-resolution digital modified cameras and software implementations of Structure-from-Motion (SfM) and Multiple-View-Stereo (MVS) algorithms, has made the production of models with spectral textures more feasible than ever. In this research, a short review of image-based 3D modeling with NIR data is attempted. The authors aim to investigate the use of near-infrared imagery from relatively low-cost modified sensors for heritage digitization, alongside the usefulness of spectral textures produced, oriented towards heritage science. Therefore, thorough experimentation and assessment with different software are conducted and presented, utilizing NIR imagery and SfM/MVS methods. Dense 3D point clouds and textured meshes have been produced and evaluated for their metric validity and radiometric quality, comparing to results produced from VIS imagery. The datasets employed come from heritage assets of different dimensions, from an archaeological site to a medium-sized artwork, to evaluate implementation on different levels of accuracy and specifications of texture resolution. View Full-Text
Keywords: cultural heritage survey; close-range photogrammetry; multi-view stereo; spectral imaging; near-infrared; modified camera cultural heritage survey; close-range photogrammetry; multi-view stereo; spectral imaging; near-infrared; modified camera
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Adamopoulos, E.; Rinaudo, F. Enhancing Image-Based Multiscale Heritage Recording with Near-Infrared Data. ISPRS Int. J. Geo-Inf. 2020, 9, 269.

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