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Digitisation and Measurement of
Tangible Heritage: Two Converging
Roads?
Luca Pezzati
READY TO REACH OUT
Connecting Cultural Heritage Collections and Serving Wider Audiences
2016 Conference
29-30 June 2016, Amsterdam
LAUNCH OF THE ESFRI ROADMAP 2016 – Amsterdam, 2016 March 10th
distributed research infrastructure for heritage
interpretation, preservation, documentation and
management
Coordinating Country
Italy
11 Member Countries
Belgium
Cyprus
Czech Republic
France
Germany
Greece
Hungary
Portugal
Spain
The Netherlands
United Kingdom
8 Participating
Countries
Brazil
Bulgaria
Denmark
Ireland
Israel
Poland
Slovenia
Sweden
2016-2019
preparatory phase
2021-2025
implementation phase
www.e-rihs.eu
a cross-disciplinary collection of advanced tools and services
serving a cross-disciplinary community of researchers
ARCHLAB
Scientific archives for
heritage science
MOLAB
Mobile laboratory for
in-situ diagnostics
FIXLAB
Access to large-
scale facilities
DIGILAB
Digital scientific datasets
for heritage science
 a study prepared for the EC in 2010 [Poole, N., The Cost of
Digitising Europe’s Cultural Heritage] estimates in the order of 100
billion of Euro the cost of digitizing all Europe’s public cultural
heritage assets
 from the same document: “Digitisation is a loosely-defined term
which describes the set of management and technical processes
and activities by which material is selected, processed, converted
from analogue to digital format, described, stored, preserved and
distributed.”
digitising tangible heritage
digitisation
Digitization is the
representation of an object,
image, sound, document or
signal by generating a
series of numbers that
describe a discrete set of its
points or samples. The
result is called digital
representation.
Wikipedia
measuring tangible heritage
 scientific instruments measure physical quantities and store them
in digital form
 well defined protocols make sure measurements are reproducible
 errors must be assessed
 qualitative output
 no information on errors
 guidelines not protocols
 text, 2D and 3D images, audio, video, …
 mass-production process
 quantitative output
 errors assessed and given
 measurement protocols
 all kinds of datasets, including the above
 quality process
digitising vs. measuring
 text
 images
 audio
 video
 3D models (artefacts, monuments, buildings, …)
 color
 roughness/texture/glossiness
 reflectance spectra (X-UV-VIS-NIR-IR), also in image format
 fluorescence and luminescence (X-UV-IR), also in image format
 material composition (chemical analysis, physical analysis)
 inner composition (tomography)
 …
heritage: what is digitised / measured
• enhance/allow public/remote access to CH
• virtual exhibitions
• producing physical copies from digital data
• gaming
• research made easy (VREs)
• research made possible (fragile items, unreachable objects, …)
• document heritage at risk of loss
• document heritage purposely lost (destructive measurements)
• preserve and transmit knowledge to future generations
why digitising / measuring heritage
Datare-usetimeline:
long-termshort-term
are digitisation and measurement due to converge?
Already happening:
 better and better digitisers approach measurement-quality results
 better instruments produce denser measurements
Needs boosting:
 user’s awareness on the outcomes
 better planning of digitisation projects
 open data (sharing) of heritage measurement results
could be feasible if we:
 document all properties of the object which are reasonably
measurable
 use scientific measurement procedures
- error estimates
- protocols
- calibrated & certified instruments
 develop new digitisers and digitising procedures to mass-measure
at reasonable costs
documenting heritage!
Are heritage datasets themselves heritage?
Leonardo:MadonnaVirginoftheRocks(detail)
TheNationalGallery
wide-bandinfraredimage(0.8-1.7microns)
…thank you for your attention!
luca.pezzati@cnr.it
www.e-rihs.eu
Examples of data loss
heritage at risk of loss (collapse)
ThePoesiaCave
RocaVecchia,Lecce
coastalcavewith600sqmmessapic/greek/latin
inscriptions
heritage lost on purpose (destructive measurement)
PaintsamplefromThePalaceofNestore
Pylos,13thcenturyB.C.
pyrolysisandgaschromatography/massspectroscopy
27.50 28.00 28.50 29.00 29.50 30.00 30.50 31.00
0
100
200
300
400
500
600
700
800
900
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2100
2200
2300
2400
2500
2600
Time-->
Abundance
40 50 60 70 80 90 100 110120130 140 150160 170180 190 200210 220230 2400
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
m/z-->
Abundance
57
97
110
8270 124
138 194
180 208152
166
222
hexadecanenitrile
40 60 80 100 120 140 160 180 200 220 240 2600
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
m/z-->
Abundance
57
75 97
11085
124
138 222166 236208152 194180 250 265
octadecanenitrile
courtesy of M.P. Colombini, University of Pisa and ICVBC CNR
Our possible Q&As about Renaissance (600ys ago):
 Q. What was the sound of music, or of speech?
 A. Forever lost. No hi-fi systems around…
 Q. What was the appearance of artworks and buildings?
 A. Lost: no photography. Only partial descriptions in paintings.
 Q. What were the original colours of paintings?
 A. Forever lost. No colorimetry available in 1480.
looking to the past…
Possible Q&As about us, in 600ys to come (2616A.D.):
Q. What was the sound of music in 2000?
A. Just open the audio files and listen…
(if we care about long-term preservation)
Q. What was the appearance of artworks and buildings in 2000?
A. Look, they saved complete models of cities and museums!
(if we care about long-term preservation)
Q. What were the original colours of Keith Haring paintings?
A. Ooooops! Why they did not measure them? They had colorimetry since
1931!!!!!
…planning for the future
Examples of heritage datasets
images (2D-mapped)
Leonardo:VirginoftheRocks(detail)
TheNationalGallery
colorimageandwide-bandinfraredimage
multi-spectral images (11 bands, 2D-mapped)
Leonardo:MadonnaoftheYarnwinder(detail)
privatecollection
multi-spectralscanninginfraredimages
1030 nm 1112 nm 1200 nm 1300 nm 1400 nm
1500 nm 1600 nm 1820 nm1700 nm 1930nm
2265 nm
hyper-spectral images (512 bands, 2D-mapped)
MaestroGuglielmo:Sarzana’sCross,1138(detail)
CathedralofSarzana
sections (2D-mapped)
A
B
C
D
E
F
G
H
L
M
Z: 1 mm
(1000 pts)
X: 2 cm
(4000 pts)
OD level:
16bit
surface relief maps (2D-mapped)
Michelangelo:David(details)
GalleryoftheAccademia,Florence
3D models (2D- or 3D-mapped)
Cattedrale di Pisa
courtesy of INO CNR and R. Scopigno, ISTI CNR
tomography models (3D-mapped)
courtesy of P. Targowski, University of Torun
More on digitisation and
conclusions
 final cost of mass-digitisation is largely dependent on manpower,
not instruments
 research can target development of “smart scanners” to support
low-cost mass-digitisation
 outcomes can boost innovation and industrial development
documenting heritage: sustainability
 store for long-term: metadata must include full info of (e.g.):
 digitization/measurement protocols
 errors and error estimation strategy
 extended instrument info (model, calibration, manuals,…)
 environmental parameters during measurement
 e-infrastructures for heritage must address the problems of re-
using complex interrelated multi-dimensional data sets
 specialized VREs needed
 intensive use of 3D models and VR to access/reference/-connect
heritage data sets
doumenting heritage: storing & re-using data
 new approach needed for digitisation and data preservation
 new digitisers needed for low-cost mass-production of quantitative
digital data
 new tools for data handling and for their use in virtual research
environments must be studied
 common strategies to be developed in collaboration between “data
producer” SCI research infrastructures and e-infrastructures
conclusions

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1C - European Networks

  • 1. Digitisation and Measurement of Tangible Heritage: Two Converging Roads? Luca Pezzati READY TO REACH OUT Connecting Cultural Heritage Collections and Serving Wider Audiences 2016 Conference 29-30 June 2016, Amsterdam
  • 2. LAUNCH OF THE ESFRI ROADMAP 2016 – Amsterdam, 2016 March 10th distributed research infrastructure for heritage interpretation, preservation, documentation and management Coordinating Country Italy 11 Member Countries Belgium Cyprus Czech Republic France Germany Greece Hungary Portugal Spain The Netherlands United Kingdom 8 Participating Countries Brazil Bulgaria Denmark Ireland Israel Poland Slovenia Sweden 2016-2019 preparatory phase 2021-2025 implementation phase www.e-rihs.eu a cross-disciplinary collection of advanced tools and services serving a cross-disciplinary community of researchers ARCHLAB Scientific archives for heritage science MOLAB Mobile laboratory for in-situ diagnostics FIXLAB Access to large- scale facilities DIGILAB Digital scientific datasets for heritage science
  • 3.  a study prepared for the EC in 2010 [Poole, N., The Cost of Digitising Europe’s Cultural Heritage] estimates in the order of 100 billion of Euro the cost of digitizing all Europe’s public cultural heritage assets  from the same document: “Digitisation is a loosely-defined term which describes the set of management and technical processes and activities by which material is selected, processed, converted from analogue to digital format, described, stored, preserved and distributed.” digitising tangible heritage
  • 4. digitisation Digitization is the representation of an object, image, sound, document or signal by generating a series of numbers that describe a discrete set of its points or samples. The result is called digital representation. Wikipedia
  • 5. measuring tangible heritage  scientific instruments measure physical quantities and store them in digital form  well defined protocols make sure measurements are reproducible  errors must be assessed
  • 6.  qualitative output  no information on errors  guidelines not protocols  text, 2D and 3D images, audio, video, …  mass-production process  quantitative output  errors assessed and given  measurement protocols  all kinds of datasets, including the above  quality process digitising vs. measuring
  • 7.  text  images  audio  video  3D models (artefacts, monuments, buildings, …)  color  roughness/texture/glossiness  reflectance spectra (X-UV-VIS-NIR-IR), also in image format  fluorescence and luminescence (X-UV-IR), also in image format  material composition (chemical analysis, physical analysis)  inner composition (tomography)  … heritage: what is digitised / measured
  • 8. • enhance/allow public/remote access to CH • virtual exhibitions • producing physical copies from digital data • gaming • research made easy (VREs) • research made possible (fragile items, unreachable objects, …) • document heritage at risk of loss • document heritage purposely lost (destructive measurements) • preserve and transmit knowledge to future generations why digitising / measuring heritage Datare-usetimeline: long-termshort-term
  • 9. are digitisation and measurement due to converge? Already happening:  better and better digitisers approach measurement-quality results  better instruments produce denser measurements Needs boosting:  user’s awareness on the outcomes  better planning of digitisation projects  open data (sharing) of heritage measurement results
  • 10. could be feasible if we:  document all properties of the object which are reasonably measurable  use scientific measurement procedures - error estimates - protocols - calibrated & certified instruments  develop new digitisers and digitising procedures to mass-measure at reasonable costs documenting heritage!
  • 11. Are heritage datasets themselves heritage? Leonardo:MadonnaVirginoftheRocks(detail) TheNationalGallery wide-bandinfraredimage(0.8-1.7microns)
  • 12. …thank you for your attention! luca.pezzati@cnr.it www.e-rihs.eu
  • 14. heritage at risk of loss (collapse) ThePoesiaCave RocaVecchia,Lecce coastalcavewith600sqmmessapic/greek/latin inscriptions
  • 15. heritage lost on purpose (destructive measurement) PaintsamplefromThePalaceofNestore Pylos,13thcenturyB.C. pyrolysisandgaschromatography/massspectroscopy 27.50 28.00 28.50 29.00 29.50 30.00 30.50 31.00 0 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100 2200 2300 2400 2500 2600 Time--> Abundance 40 50 60 70 80 90 100 110120130 140 150160 170180 190 200210 220230 2400 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 6500 7000 7500 8000 m/z--> Abundance 57 97 110 8270 124 138 194 180 208152 166 222 hexadecanenitrile 40 60 80 100 120 140 160 180 200 220 240 2600 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 m/z--> Abundance 57 75 97 11085 124 138 222166 236208152 194180 250 265 octadecanenitrile courtesy of M.P. Colombini, University of Pisa and ICVBC CNR
  • 16. Our possible Q&As about Renaissance (600ys ago):  Q. What was the sound of music, or of speech?  A. Forever lost. No hi-fi systems around…  Q. What was the appearance of artworks and buildings?  A. Lost: no photography. Only partial descriptions in paintings.  Q. What were the original colours of paintings?  A. Forever lost. No colorimetry available in 1480. looking to the past…
  • 17. Possible Q&As about us, in 600ys to come (2616A.D.): Q. What was the sound of music in 2000? A. Just open the audio files and listen… (if we care about long-term preservation) Q. What was the appearance of artworks and buildings in 2000? A. Look, they saved complete models of cities and museums! (if we care about long-term preservation) Q. What were the original colours of Keith Haring paintings? A. Ooooops! Why they did not measure them? They had colorimetry since 1931!!!!! …planning for the future
  • 20. multi-spectral images (11 bands, 2D-mapped) Leonardo:MadonnaoftheYarnwinder(detail) privatecollection multi-spectralscanninginfraredimages 1030 nm 1112 nm 1200 nm 1300 nm 1400 nm 1500 nm 1600 nm 1820 nm1700 nm 1930nm 2265 nm
  • 21. hyper-spectral images (512 bands, 2D-mapped) MaestroGuglielmo:Sarzana’sCross,1138(detail) CathedralofSarzana
  • 22. sections (2D-mapped) A B C D E F G H L M Z: 1 mm (1000 pts) X: 2 cm (4000 pts) OD level: 16bit
  • 23. surface relief maps (2D-mapped) Michelangelo:David(details) GalleryoftheAccademia,Florence
  • 24. 3D models (2D- or 3D-mapped) Cattedrale di Pisa courtesy of INO CNR and R. Scopigno, ISTI CNR
  • 25. tomography models (3D-mapped) courtesy of P. Targowski, University of Torun
  • 26. More on digitisation and conclusions
  • 27.  final cost of mass-digitisation is largely dependent on manpower, not instruments  research can target development of “smart scanners” to support low-cost mass-digitisation  outcomes can boost innovation and industrial development documenting heritage: sustainability
  • 28.  store for long-term: metadata must include full info of (e.g.):  digitization/measurement protocols  errors and error estimation strategy  extended instrument info (model, calibration, manuals,…)  environmental parameters during measurement  e-infrastructures for heritage must address the problems of re- using complex interrelated multi-dimensional data sets  specialized VREs needed  intensive use of 3D models and VR to access/reference/-connect heritage data sets doumenting heritage: storing & re-using data
  • 29.  new approach needed for digitisation and data preservation  new digitisers needed for low-cost mass-production of quantitative digital data  new tools for data handling and for their use in virtual research environments must be studied  common strategies to be developed in collaboration between “data producer” SCI research infrastructures and e-infrastructures conclusions

Editor's Notes

  1. Of the 3 platforms of E-RIHS (E-RIHS LABs), two are data producers (MOLAB, FIXLAB); one is a data source (ARCHLAB) and the last one will be an e-infrastructure (DIGILAB) for scientific heritage datasets. MOLAB; FIXLAB and ARCHLAB are operated by the integrating activity project IPERION CH (and predecessors) since FP6.
  2. On the scale of Europe, such a cost can be afforded. But on the verge of starting this wide and long-term task, we cannot do without a well-planned strategy about digitizing and cataloguing our heritage. Possible faults undermining this strategy are related to the loose definition of «digitization» and of its aims. Further confusion arises from the time issue: are we digitizing for now (research and frution), for the future (long-term preservation), or for both?
  3. Try googling “digitization” and “heritage digitization”…
  4. Just to make the point, let’s see at the definition of «measurement»… Error assessment and protocols are the keys of a measurement process.
  5. Let’s take a look at the major differences between the two approaches. Niccoucci’s paper on using industrial quality approach to 3D digitization shows an attempt to this new «digitization as measurement».
  6. This is today’s model, as defined in all major documents around, and care is to digitize items in the blue list. The last point is the «modern» one. But if you comfront once again with the real needs of preservation, you get back to the red pill approach…
  7. If our aim is (even partly) to transmit knowledge to future generations, our approach to digitisation is wrong.
  8. If our aim is (even partly) to transmit knowledge to future generations, our approach to digitisation is wrong.
  9. A sensible approach. Summarizing the principal issues of «digitizing for the future» are:
  10. Ethical issue: digital CH data is CH data itself!!!
  11. All is left after a destructive measurement is the «digital ghost» of the material, containing info so precious to justify the distruction of the sample.
  12. To better understand what we are called to accomplish, a look to the past can be useful. Let’s ask ourselves questions about what we wish we knew about, for instance, the golden age of Reinassance.
  13. How do we play Beethoven today? Let’s try to guess our descendant’s curiosity towards us in, say, the same time span separating us from the Renaissance. When it gets to quantitative aspects, on fragile or simply changing CH, the model we are using shows its limitations.
  14. It’s not a problem of costs, but a problem of understanding our targets. We can do without quantitative approach, but the question is why? And this is exactly the question a scientist in 2600 could be asking about our ways of digitizing.
  15. Data will more and more be made of relations than of single items.