A Survey of Geometric Analysis in Cultural Heritage

Pintus, Ruggero; Pal, Kazim; Yang, Ying; Weyrich, Tim; Gobbetti, Enrico; Rushmeier, Holly

doi:10.1111/cgf.12668

Cited by 62 publications

(27 citation statements)

References 108 publications

(144 reference statements)

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“…The visual analysis of MLICs is at the basis of several applications and tasks, ranging from pure visualization to geometric analysis [PPY∗16]. We provide here a structured overview of the areas where MLICs have been successfully used for daily visualization and analysis work.…”

Section: Methodsmentioning

confidence: 99%

State‐of‐the‐art in Multi‐Light Image Collections for Surface Visualization and Analysis

Pintus

Dulecha

Ciortan

et al. 2019

Computer Graphics Forum

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Multi‐Light Image Collections (MLICs), i.e., stacks of photos of a scene acquired with a fixed viewpoint and a varying surface illumination, provide large amounts of visual and geometric information. In this survey, we provide an up‐to‐date integrative view of MLICs as a mean to gain insight on objects through the analysis and visualization of the acquired data. After a general overview of MLICs capturing and storage, we focus on the main approaches to produce representations usable for visualization and analysis. In this context, we first discuss methods for direct exploration of the raw data. We then summarize approaches that strive to emphasize shape and material details by fusing all acquisitions in a single enhanced image. Subsequently, we focus on approaches that produce relightable images through intermediate representations. This can be done both by fitting various analytic forms of the light transform function, or by locally estimating the parameters of physically plausible models of shape and reflectance and using them for visualization and analysis. We finally review techniques that improve object understanding by using illustrative approaches to enhance relightable models, or by extracting features and derived maps. We also review how these methods are applied in several, main application domains, and what are the available tools to perform MLIC visualization and analysis. We finally point out relevant research issues, analyze research trends, and offer guidelines for practical applications.

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Section: Methodsmentioning

confidence: 99%

State‐of‐the‐art in Multi‐Light Image Collections for Surface Visualization and Analysis

Pintus

Dulecha

Ciortan

et al. 2019

Computer Graphics Forum

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“…According to Italian Statistical Institute (ISTAT), Italy has 4,976 public and private museums open to the public, but structures able to attract more than 500 thousand visitors represent less than 1% of the total (Bertollini et al 2018). Most museums are characterized by low budgets for preservation, documentation and dissemination of collections, consisting, usually, of micro-/meso-scale objects (Pintus et al, 2016). In order to set up a procedure capable to give a reliable and consistent solution to micro-/meso-scale object acquisition, three heterogeneous objects were chosen from the Sistema Museale di Ateneo (SMA) of the University of Bologna hosted inside Palazzo Poggi, the headquarters of the University, a remarkable XVI century building (Ottani Cavina, 1988).…”

Section: Aims Of the Studymentioning

confidence: 99%

Evaluating Smartphones Color Fidelity and Metric Accuracy for the 3d Documentation of Small Artifacts

Gaiani

Apollonio

Fantini

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Smartphone camera technology has made significant improvements of sensors quality and software camera performance in recent years. Devices as Apple iPhone X and the Samsung Galaxy S9 Plus, allow to reach levels of image resolution, sharpness and color accuracy very close to prosumer SLR cameras, enabling also on-the-fly processing and procedures which were considered impossible to achieve until a few years ago. Starting from these premises, a series of issues and opportunities concerning smartphone application to artifacts documentation will be discussed. In particular, consistency and reliability of both shape and color representation achievable for small-medium artifacts belonging to exhibitions and museum collections. A low-cost, easy-to-use workflow based on low-cost widespread devices will be compared to consolidated digitization pipelines. The contribution focus is based on color accuracy of textured models achievable through smartphones by means of an internally developed application for the achievement of highly reliable developments of raw formats (.DNG) from Apple iPhone X. Color consistency will be calculated in terms of the mean camera chroma relative to the mean ideal chroma in the CIE color metric (&Delta;E*00) as defined in 2000 by the CIE on the CIEXYZ chromaticity diagram.

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“…There is also a computerised geometrical analysis of architectural heritage which focuses on the techniques applied to geometries in the field of cultural heritage. The review shows a vast scientific literature directed to experts in archaeology and history (Pintus et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, Pintus et al (2016) deal with the analysis of shapes, geometrical descriptors and equity of shapes. However, this is not completely solved in technical-scientific literature.…”

Section: Literature Reviewmentioning

confidence: 99%

A Geometrical Similarity Pattern as an Experimental Model for Shapes in Architectural Heritage: A Case Study of the Base of the Pillars in the Cathedral of Seville and the Church of Santiago in Jerez, Spain

Moyano

Barrera

Nieto

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper proposes a procedure for the search of a geometrical similarity pattern in architectural heritage by means of calculating probability indexes to support hypotheses initially endorsed by documentary sources. The buildings analysed are the Cathedral of Seville and the Church of Santiago, in Jerez, Spain. The 3D models of their selected pillars are obtained by means of Terrestrial Laser Scanning (TLS), Optical Scanning (OS) and photogrammetry through image-based modelling software (SFM-IBM). To this end, a procedure for the comparison of shapes is established. It is based on similarity statistics, the determination of homologous points and the agreement of characteristic sections. Here, two key aspects are considered: on the one hand, the metric standpoint; on the other hand, historical-graphical features of the 3D models: composition, techniques, styles, and historical-graphical documentary sources. Thus, putting aside the mere dimensional analysis, the sections are compared with graphical patterns and models of which the same authorship -stonemasons working in that age -is accurately known. As a result, the outcomes of this research reveal the geometrical similarity between the elements of the pillars of the Cathedral of Seville and the Church of Santiago.

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A Survey of Geometric Analysis in Cultural Heritage

Cited by 62 publications

References 108 publications

State‐of‐the‐art in Multi‐Light Image Collections for Surface Visualization and Analysis

State‐of‐the‐art in Multi‐Light Image Collections for Surface Visualization and Analysis

Evaluating Smartphones Color Fidelity and Metric Accuracy for the 3d Documentation of Small Artifacts

A Geometrical Similarity Pattern as an Experimental Model for Shapes in Architectural Heritage: A Case Study of the Base of the Pillars in the Cathedral of Seville and the Church of Santiago in Jerez, Spain

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