Computer vision methods and rock art: towards a digital detection of pigments

Cuenca, Enrique Cerrillo; Ortiz-Coder, Pedro; Martínez-del-Pozo, José-Ángel

doi:10.1007/s12520-013-0147-2

Cited by 18 publications

(8 citation statements)

References 28 publications

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“…The next process (III) was segmentation, which aimed to obtain more significant and easy to analyze images in the subsequent photogrammetric process. It started searching for the homologous points belonging to the keyframes resulting from the filtering process carried out in (II) [53,54,55], which was performed between an image, the earlier one and the later one. The resulting images were stored in a set, called a “segment”.…”

Section: Methodsmentioning

confidence: 99%

“…This software generates a depth map from the main image and a series of secondary images to obtain parallax values. The calculation was carried out having taken into account that the scene could be described by a single function Z = f ( X ; Y ) (with X ; Y ; Z using Euclidean coordinates) with several parameters of MICMAC to calculate the density correlation and obtain the cloud of dense points with color [54,55,59] which was the final result of the process.…”

Section: Methodsmentioning

confidence: 99%

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A Self-Assembly Portable Mobile Mapping System for Archeological Reconstruction Based on VSLAM-Photogrammetric Algorithm

Ortiz-Coder¹,

Sánchez-Ríos²

2019

Sensors

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Three Dimensional (3D) models are widely used in clinical applications, geosciences, cultural heritage preservation, and engineering; this, together with new emerging needs such as building information modeling (BIM) develop new data capture techniques and devices with a low cost and reduced learning curve that allow for non-specialized users to employ it. This paper presents a simple, self-assembly device for 3D point clouds data capture with an estimated base price under €2500; furthermore, a workflow for the calculations is described that includes a Visual SLAM-photogrammetric threaded algorithm that has been implemented in C++. Another purpose of this work is to validate the proposed system in BIM working environments. To achieve it, in outdoor tests, several 3D point clouds were obtained and the coordinates of 40 points were obtained by means of this device, with data capture distances ranging between 5 to 20 m. Subsequently, those were compared to the coordinates of the same targets measured by a total station. The Euclidean average distance errors and root mean square errors (RMSEs) ranging between 12–46 mm and 8–33 mm respectively, depending on the data capture distance (5–20 m). Furthermore, the proposed system was compared with a commonly used photogrammetric methodology based on Agisoft Metashape software. The results obtained demonstrate that the proposed system satisfies (in each case) the tolerances of ‘level 1’ (51 mm) and ‘level 2’ (13 mm) for point cloud acquisition in urban design and historic documentation, according to the BIM Guide for 3D Imaging (U.S. General Services).

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A Self-Assembly Portable Mobile Mapping System for Archeological Reconstruction Based on VSLAM-Photogrammetric Algorithm

Ortiz-Coder¹,

Sánchez-Ríos²

2019

Sensors

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“…An essential aspect in all classification models is the calculation of correlation between variables. To address this, the Spearman's ρ of the six matrices was computed to determine the extent to which this process can reduce the high correlation typically found among bands of a conventional RGB image in rock paintings [32,33].…”

Section: Image Transformation From Rgb To Lhc Uv Colorspacementioning

confidence: 99%

Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)

Cerrillo-Cuenca,

Sepúlveda,

Cabello

et al. 2024

Herit Sci

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The article explores advanced image processing techniques for pigment discrimination in rock art paintings, emphasizing color separation using RGB (red, green, blue) and LHCUv (Luminance, Hue, Chroma) imagery. It highlights the use of dimensionality reduction methods such as Principal Components Analisys PCA and Independent Component Analysis (ICA), with a focus on Gaussian Mixture Models (GMM) for probabilistic classification of image elements. This approach, applied to the Chomache archaeological site on the northernmost coast of the Atacama Desert in Chile, reveals previously undetected motifs and details, offering a nuanced perspective in rock art documentation and analysis. This proposal reinforces the value of rock art panel not only as a finished product but as a process.

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“…Moreover, images on the computer can display various kinds of data satisfying the user's needs, whereas analogue images cannot change their printed form. In addition, photogrammetric software is rapidly being introduced specifically for the documentation of mural paintings or rock art (Cerrillo-Cuenca et al, 2014;Cosentino et al, 2011;Domingo et al, 2013;Ke et al, 2008). As Doneus et al (2011) clarifed, digital photogrammetry can provide an accuracy that is similar to mid-range laser scanning devices.…”

Section: Introductionmentioning

confidence: 99%

Digital non-metric image-based documentation for the preservation and restoration of mural paintings: the case of the Üzümlü Rock-hewn Church, Turkey

Higuchi

Suzuki

Shibata

et al. 2016

Virtual archaeol. rev.

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Abstract:Digital photography is a valuable documentation technique for the preservation of a cultural heritage site because highresolution photography presents both general and detailed views of mural paintings and mural condition in a single image. Advanced digital technology is particularly helpful for preserving and restoring mural paintings given that the painting condition is recorded on high-resolution base maps shows how mural paintings are damaged by environmental stresses, mechanical damages and inappropriate treatments, among others. In addition, photogrammetric software technology is rapidly advancing and being applied to the digital documentation of mural paintings or rock art. Nevertheless, human experience and investigation of mural paintings is indispensable for recording the condition of mural paintings, and this highlights that every step of documentation conducted in situ is desirable. However, images by photogrammetric software do not show sufficient resolution because most normal portable computers used on-site are not usually sufficient. Based on our experience at the Üzümlü Church in Cappadocia, Turkey, we propose a new approach to document mural conditions in situ for preservation and restoration. Our method is based on a comparison of a non-metric but approximate high-resolution image with the actual mural paintings. The method does not require special instruments and enables digital documentation of the mural condition in situ at a low cost, in a short time frame and using minimal human resources.

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Computer vision methods and rock art: towards a digital detection of pigments

Cited by 18 publications

References 28 publications

A Self-Assembly Portable Mobile Mapping System for Archeological Reconstruction Based on VSLAM-Photogrammetric Algorithm

A Self-Assembly Portable Mobile Mapping System for Archeological Reconstruction Based on VSLAM-Photogrammetric Algorithm

Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)

Digital non-metric image-based documentation for the preservation and restoration of mural paintings: the case of the Üzümlü Rock-hewn Church, Turkey

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