The traveling optical scanner – case study on 3D shape models of ancient Brazilian skulls
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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The traveling optical scanner – case study on 3D shape models of ancient Brazilian skulls. / Trinderup, Camilla Himmelstrup; Dahl, Vedrana Andersen; Gregersen, Kristian; Orlando, Ludovic Antoine Alexandre; Dahl, Anders Bjorholm.
Image and Signal Processing: 7th International Conference, ICISP 2016, Trois-Rivières, QC, Canada, May 30 - June 1, 2016, Proceedings. red. / Alamin Mansouri; Fathallah Nouboud; Alain Chalifour; Driss Mammass; Jean Meunier; Abderrahim Elmoataz. Springer, 2016. s. 398-405 (Lecture notes in computer science, Bind 9680).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - The traveling optical scanner – case study on 3D shape models of ancient Brazilian skulls
AU - Trinderup, Camilla Himmelstrup
AU - Dahl, Vedrana Andersen
AU - Gregersen, Kristian
AU - Orlando, Ludovic Antoine Alexandre
AU - Dahl, Anders Bjorholm
N1 - Conference code: 7
PY - 2016
Y1 - 2016
N2 - Recovering detailed morphological information from archaeological or paleontological material requires extensive hands-on time. Creating 3D scans based on e.g. computed tomography (CT) will recover the geometry of the specimen, but can inflict bimolecular degradation. Instead, we propose a fast, inoffensive and inexpensive 3D scanning modality based on structured light, suitable for capturing the morphology and the appearance of specimens. Benefits of having 3D models are manifold. The 3D models are easy to share among researchers and can be made available to the general public. Advanced morphological modelling is possible with accurate description of the specimens provided by the models. Furthermore, performing studies on models reduces the risk of damage to the original specimen. In our work we employ a high resolution structured light scanner for digitalizing a collection of 8500 year old human skulls from Brazil. To evaluate the precision of our setup we compare the structured light scan to micro-CT and achieve submillimetre difference. We analyse morphological features of the Brazilian skulls using manual landmarks, but a research goal is to automate this, fully utilize the dense 3D scans, and apply the method to many more samples.
AB - Recovering detailed morphological information from archaeological or paleontological material requires extensive hands-on time. Creating 3D scans based on e.g. computed tomography (CT) will recover the geometry of the specimen, but can inflict bimolecular degradation. Instead, we propose a fast, inoffensive and inexpensive 3D scanning modality based on structured light, suitable for capturing the morphology and the appearance of specimens. Benefits of having 3D models are manifold. The 3D models are easy to share among researchers and can be made available to the general public. Advanced morphological modelling is possible with accurate description of the specimens provided by the models. Furthermore, performing studies on models reduces the risk of damage to the original specimen. In our work we employ a high resolution structured light scanner for digitalizing a collection of 8500 year old human skulls from Brazil. To evaluate the precision of our setup we compare the structured light scan to micro-CT and achieve submillimetre difference. We analyse morphological features of the Brazilian skulls using manual landmarks, but a research goal is to automate this, fully utilize the dense 3D scans, and apply the method to many more samples.
UR - http://www.scopus.com/inward/record.url?scp=84969242825&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-33618-3_40
DO - 10.1007/978-3-319-33618-3_40
M3 - Article in proceedings
AN - SCOPUS:84969242825
SN - 978-3-319-33617-6
T3 - Lecture notes in computer science
SP - 398
EP - 405
BT - Image and Signal Processing
A2 - Mansouri, Alamin
A2 - Nouboud, Fathallah
A2 - Chalifour, Alain
A2 - Mammass, Driss
A2 - Meunier, Jean
A2 - Elmoataz, Abderrahim
PB - Springer
Y2 - 30 May 2016 through 1 June 2016
ER -
ID: 174006435