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https://doi.org/10.2498/cit.2006.01.03

Statistically Deformable Face Models for Cranio-Facial Reconstruction

Paul Suetens
Guy Willems
Dirk Vandermeulen
Sven De Greef
Peter Claes

Puni tekst: engleski, pdf (532 KB) str. 21-30 preuzimanja: 728* citiraj
APA 6th Edition
Suetens, P., Willems, G., Vandermeulen, D., De Greef, S. i Claes, P. (2006). Statistically Deformable Face Models for Cranio-Facial Reconstruction. Journal of computing and information technology, 14 (1), 21-30. https://doi.org/10.2498/cit.2006.01.03
MLA 8th Edition
Suetens, Paul, et al. "Statistically Deformable Face Models for Cranio-Facial Reconstruction." Journal of computing and information technology, vol. 14, br. 1, 2006, str. 21-30. https://doi.org/10.2498/cit.2006.01.03. Citirano 26.02.2021.
Chicago 17th Edition
Suetens, Paul, Guy Willems, Dirk Vandermeulen, Sven De Greef i Peter Claes. "Statistically Deformable Face Models for Cranio-Facial Reconstruction." Journal of computing and information technology 14, br. 1 (2006): 21-30. https://doi.org/10.2498/cit.2006.01.03
Harvard
Suetens, P., et al. (2006). 'Statistically Deformable Face Models for Cranio-Facial Reconstruction', Journal of computing and information technology, 14(1), str. 21-30. https://doi.org/10.2498/cit.2006.01.03
Vancouver
Suetens P, Willems G, Vandermeulen D, De Greef S, Claes P. Statistically Deformable Face Models for Cranio-Facial Reconstruction. Journal of computing and information technology [Internet]. 2006 [pristupljeno 26.02.2021.];14(1):21-30. https://doi.org/10.2498/cit.2006.01.03
IEEE
P. Suetens, G. Willems, D. Vandermeulen, S. De Greef i P. Claes, "Statistically Deformable Face Models for Cranio-Facial Reconstruction", Journal of computing and information technology, vol.14, br. 1, str. 21-30, 2006. [Online]. https://doi.org/10.2498/cit.2006.01.03

Sažetak
Forensic facial reconstruction aims at estimating the facial outlook associated to an unknown skull specimen. Estimation is based on tabulated average values of soft tissue thicknesses measured at a sparse set of landmarks on the skull. Traditional 'plastic' methods apply modeling clay or plasticine on a cast of the skull approximating the estimated tissue depths at the landmarks and interpolating in between. Current computerized techniques mimic this landmark interpolation procedure using a single facial surface template. However, the resulting reconstruction is biased by the specific choice of the template and no face specific regularization is present. We reduce the bias by using a flexible statistical model of a dense set of facial surface points combined with an associated sparse set of skull landmarks. The statistical model also provides a probability value, which can be used to regularize the reconstruction towards more plausible outlooks. The reconstruction is obtained by fitting the model skull landmarks to the corresponding landmarks indicated on a digital copy of the skull to be reconstructed. The fitting process alternates between changing the face-specific statistical model parameters and interpolating the remaining landmark fit error using a minimal bending Thin-Plate Spline (TPS) based deformation. Furthermore, estimated properties of the skull specimen (BMI, age and gender e.g.) can be incorporated as conditions on the reconstruction by removing property-related shape variation from the statistical model description before the fitting process. This iterative statistical model based reconstruction process is shown by experiment to converge to a realistic reconstruction of the face, independent of the initial template.

Hrčak ID: 44672

URI
https://hrcak.srce.hr/44672

Posjeta: 942 *