2013 Digital Heritage International Congress (DigitalHeritage) 2013
DOI: 10.1109/digitalheritage.2013.6743730
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Measuring changes in cultural heritage objects with Reflectance Transformation Imaging

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Cited by 14 publications
(12 citation statements)
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“…The recording was conducted using a computational photographic technique called Hemispheral Harmonics (HSH) (Manfredi et al ., ), part of a larger family of techniques known as RTI. Over the past decade, RTI has been shown to be a robust and useful technique for surface imaging of cultural heritage and has been deployed to record a wide spectrum of archaeological and conserved artefacts (Malzbender et al ., ; Hammer et al ., : 9; Freeth et al ., ; Earl et al ., ; Gabov and Bevan, ; Klausmeyer, ).…”
Section: Survey Methodsmentioning
confidence: 99%
“…The recording was conducted using a computational photographic technique called Hemispheral Harmonics (HSH) (Manfredi et al ., ), part of a larger family of techniques known as RTI. Over the past decade, RTI has been shown to be a robust and useful technique for surface imaging of cultural heritage and has been deployed to record a wide spectrum of archaeological and conserved artefacts (Malzbender et al ., ; Hammer et al ., : 9; Freeth et al ., ; Earl et al ., ; Gabov and Bevan, ; Klausmeyer, ).…”
Section: Survey Methodsmentioning
confidence: 99%
“…Manfredi Marcello and et al [11] developed a reliable RTI method for monitoring changes in cultural heritage objects to get detailed information on the object surface. In this work, they captured the RTI and compared the normal vectors to the limits: the method was able to detect the damage automatically.…”
Section: Related Studymentioning
confidence: 99%
“…Examples of applications are in the representation of coins (Mudge et al, 2005) and in archaeology (Earl et al, 2010). RTI can also provide information on physical changes in the surface geometry of the object itself, such as cockling and distortion of parchment (Manfredi et al, 2013). The photometric 'shape from shading' technique was introduced by Woodham (1980) in the context of computer-based image understanding.…”
Section: Prior Workmentioning
confidence: 99%