Dynamic shading enhancement for reflectance transformation imaging

Palma, Gianpaolo; Corsini, Massimiliano; Cignoni, Paolo; Scopigno, Roberto; Mudge, Mark

doi:10.1145/1841317.1841321

Cited by 48 publications

(26 citation statements)

References 22 publications

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“…RTI is "a digital (image) acquisition process that captures sets of images of a subject from a single view (point) under varying lighting conditions … reflectance functions are modelled from the captured data, making it possible for the user to interactively relight the subject", Palma et al (2010).…”

Section: Reflectance Transformation Imagingmentioning

confidence: 99%

Reflectance Transformation Imaging and ImageJ: Comparing Imaging Methodologies for Cultural Heritage Artefacts

Saunders

Collmann

Borda

2017

Electronic Workshops in Computing

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The imaging of cultural heritage sites and artefacts is now a highly technical process with many tools and methodological approaches available to archaeologists, architects, museum curators and artefact conservators. Imaging studies at the Australian Institute of Archaeology (AIA) have been directed principally to the recording of the artefacts within the collection. Several imaging tools have been used, including optical microscopy, pseudo 3D photography using a translation rig, flatbed scanning and Reflectance Transformation Imaging (RTI). RTI is an important tool for the on-going Cuneiform in Australian and New Zealand collections (CANZ) project, one output of which will be a web-site from which researchers will be able to load the interactive RTI files that can be viewed using Cultural Heritage Imaging (CHI) algorithmic rendering tools. Where publication of the AIA artefacts through journal articles and monographs is to be undertaken, other imaging techniques are being investigated to capture or enhance detail in a single image.In this work, we compare the outputs of RTI and ImageJ for interactive imaging and for singleimage publishing. This paper presents the results of applying ImageJ processing tools to images taken using the RTI methodology. Two types of artefact were studied in this work: (i) a clay tablet with significant relief in the incised cuneiform text and with convex surfaces and (ii) a papyrus fragment with ink script and a relatively flat surface texture. Both artefacts were imaged using the RTI illuminating dome methodology and the reflectance functions developed for algorithmic rendering. Image data for both artefacts were also processed using ImageJ enhancement tools, specifically Z-Project. The resultant images are compared with those from RTI algorithmic rendering.

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Section: Reflectance Transformation Imagingmentioning

confidence: 99%

Reflectance Transformation Imaging and ImageJ: Comparing Imaging Methodologies for Cultural Heritage Artefacts

Saunders

Collmann

Borda

2017

Electronic Workshops in Computing

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“…However, when the purpose of multispectral imaging is solely for visualization, re ectance imaging [64,65] can be more appropriate than multispectral imaging. The process consists in capturing a set of images from a single view, under varying illumination conditions.…”

Section: Perspectivesmentioning

confidence: 99%

Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives

Chane

Mansouri

Marzani

et al. 2013

Image and Vision Computing

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Cultural heritage is increasingly put through imaging systems such as multispectral cameras and 3D scanners. Though these acquisition systems are often used independently, they collect complementary information (spectral vs. spatial) used for the study, archiving and visualization of cultural heritage. Recording 3D and multispectral data in a single coordinate system enhances the potential insights in data analysis.We present the state of the art of such acquisition systems and their applications for the study of cultural heritage. We also describe existing registration techniques that can be used to obtain 3D models with multispectral texture and explore the idea of optically tracking acquisition systems to ensure an easy and precise registration.

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“…It could be useful, therefore, to use some automatic processing tools able to extract relevant information and suggest, where structures of interest are located. Filters for the enhanced visualization of this type of images have been proposed in [10] and implemented in a specific tool (RTIViewer ) available at the web site http://culturalheritageimaging.org.…”

Section: Edge Detection On Ptmsmentioning

confidence: 99%

“…Specific methods to enhance structures using multiple light information have been proposed as well [10].…”

Section: Introductionmentioning

confidence: 99%

Edge Detection on Polynomial Texture Maps

Brognara

Corsini

Dellepiane

et al. 2013

Image Analysis and Processing – ICIAP 2013

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Abstract. In this paper we propose a simple method to extract edges from Polynomial Texture Maps (PTM) or other kinds of Reflection Transformation Image (RTI) files. It is based on the idea of following 2D lines where the variation of corresponding 3D normals computed from the PTM coefficients is maximal. Normals are estimated using a photometric stereo approach, derivatives along image axes directions are computed in a multiscale framework providing normal discontinuity and orientation maps and lines are finally extracted using non-maxima suppression and hysteresis thresholds as in Canny's algorithm. In this way it is possible to discover automatically potential structure of interest (inscriptions, small reliefs) on Cultural Heritage artifacts of interest without the necessity of interactively recreating images using different light directions. Experimental results obtained on test data and new PTMs acquired in an archaeological site in the Holy Land with a simple low-end camera, show that the method provides potentially useful results.

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Dynamic shading enhancement for reflectance transformation imaging

Cited by 48 publications

References 22 publications

Reflectance Transformation Imaging and ImageJ: Comparing Imaging Methodologies for Cultural Heritage Artefacts

Reflectance Transformation Imaging and ImageJ: Comparing Imaging Methodologies for Cultural Heritage Artefacts

Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives

Edge Detection on Polynomial Texture Maps

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