3d Modeling for Rock Art Documentation Using Lightweight Multispectral Camera

Zainuddin, Khairulazhar; Majid, Zulkepli; Ariff, Mohd Farid Mohd; Idris, Khairulnizam M.; Abbas, Mohamed Yusoff; Darwin, Norhadija

doi:10.5194/isprs-archives-xlii-2-w9-787-2019

Cited by 10 publications

(7 citation statements)

References 18 publications

(19 reference statements)

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“…Recently, the use of commercial digital cameras employing CCD (charge-coupled device) and CMOS sensors, modified for near-infrared or full-spectrum acquisition (combined with external NIR filters) has been commonized in heritage science. They consist of lower cost, high-resolution alternatives with spectral imaging capabilities, which retain user-friendly features and interfaces to a broad variety of photographic accessories and software [18][19][20][21][22].…”

Section: Near-infrared Imaging and Modelingmentioning

confidence: 99%

“…The availability of high-resolution, easily operated digital cameras for NIR acquisition, in combination with SfM/MVS image-based modeling techniques, has made feasible the 3D spectral modeling for heritage applications. Contemporary research, which showed promising results [22][23][24][25][26][27][28], led us to the motivation for further experimentation.…”

Section: Near-infrared Imaging and Modelingmentioning

confidence: 99%

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Image-based metric heritage modeling in the near-infrared spectrum

2020

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Digital photogrammetry and spectral imaging are widely used in heritage sciences towards the comprehensive recording, understanding, and protection of historical artifacts and artworks. The availability of consumer-grade modified cameras for spectral acquisition, as an alternative to expensive multispectral sensors and multi-sensor apparatuses, along with semi-automatic software implementations of Structure-from-Motion (SfM) and Multiple-View-Stereo (MVS) algorithms, has made more feasible than ever the combination of those techniques. In the research presented here, the authors assess image-based modeling from near-infrared (NIR) imagery acquired with modified consumergrade cameras, with applications on tangible heritage. Three-dimensional (3D) meshes, textured with the non-visible data, are produced and evaluated. Specifically, metric evaluations are conducted through extensive comparisons with models produced with image-based modeling from visible (VIS) imagery and with structured light scanning, to check the accuracy of results. Furthermore, the authors observe and discuss, how the implemented NIR modeling approach, affects the surface of the reconstructed models, and may counteract specific problems which arise from lighting conditions during VIS acquisition. The radiometric properties of the produced results are evaluated, in comparison to the respective results in the visible spectrum, on the capacity to enhance observation towards the characterization of the surface and under-surface state of preservation, and consequently, to support conservation interventions.

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Section: Near-infrared Imaging and Modelingmentioning

confidence: 99%

Section: Near-infrared Imaging and Modelingmentioning

confidence: 99%

Image-based metric heritage modeling in the near-infrared spectrum

2020

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“…Mathys et al reconstructed the object’s surface by using the VIS-R _VIS images and processed the MSI texture mapping by replacing the colour images with the single spectral band images to generate 16 different MSI texture models [ 34 ]. Zainuddin et al used a Micasense RedEdge multispectral camera with five different spectral images for the 3D spectral documentation of rock art [ 35 ]. Nocerino et al mapped colour images and UV-induced visible luminescence images via a photogrammetric workflow on the 3D surface captured with a structured light scanner [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

Multiband Photogrammetry and Hybrid Image Analysis for the Investigation of a Wall Painting by Paolo de San Leocadio and Francesco Pagano in the Cathedral of Valencia

Rahrig

Cortell

Lerma

2023

Sensors

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A workflow for the photogrammetric combination of non-invasive multispectral imaging techniques ranging from ultraviolet (UV) and visible (VIS) to near infrared (NIR) for the investigation of wall paintings is presented. Hereby, different methods for image analysis and visualisation techniques are discussed. This includes the combination of spectral bands in hybrid false-colour images and image analysis by applying NDVI/NDPI and PCA. The aim of the research is to generate a high-resolution photogrammetric image set, providing information on underdrawings, material differences, damages, painting techniques and conservation measures. The image data are superimposed with pixel accuracy in a geographic information system (GIS) for further analysis, tracing of observations and findings and the annotation of further information. The research is carried out on the ‘Adoration of the Shepherds’, an early Spanish Renaissance wall painting created in 1472 by Paolo de San Leocadio and Francesco Pagano in the Cathedral of Valencia. The wall painting is preserved in an unfinished condition, and half of it is represented by the initial plaster and preparation layers. This gives the possibility to compare and evaluate the observations of the finished areas as well as carry out an in-depth study of the working techniques.

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“…TP includes a wide range of techniques applicable to historic art examination [15]. Specifically, near-infrared (NIR) imaging has been implemented to enhance archaeological observation [16], to determine the state of conservation of buildings [17], to inspect mural paintings [18], to assist the identification of pigments [19], to investigate underdrawings of panel paintings [20], underprintings [21], and palimpsests [22], to examine rock art [23], and to study feature characteristics of painted artifacts [24]. Applications of integrated heritage CRP and TP can be found in recent bibliography, showcasing a promising combination that should be further evaluated.…”

Section: Introductionmentioning

confidence: 99%

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

Adamopoulos

Rinaudo

2020

IJGI

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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.

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3d Modeling for Rock Art Documentation Using Lightweight Multispectral Camera

Cited by 10 publications

References 18 publications

Image-based metric heritage modeling in the near-infrared spectrum

Image-based metric heritage modeling in the near-infrared spectrum

Multiband Photogrammetry and Hybrid Image Analysis for the Investigation of a Wall Painting by Paolo de San Leocadio and Francesco Pagano in the Cathedral of Valencia

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

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