Abstract
Several research fields like forensic and orthodontics, use facial anthropometric distances between a set of pairs of facial standard landmarks. There are tens of attempts to automatize the measurement process using 2D and 3D approaches. However, they still suffer of three main drawbacks: human manual intervention to fix the facial landmarks, physical markers placed on the face and required time for the measurement process.
In this paper, we propose a new marker-less system for automatic facial anthropometric measurements based on Microsoft Kinect and FaceTracker API. This new approach overcomes the three measurement drawbacks. We statistically validated the system with respect to the caliper-based manual system, through experimental measurements and one-way ANOVA test comparisons on 36 subjects. The achieved successful percentage in the comparison is equal to 54,5 %.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sinnatamby, C.: Last’s anatomy. Regional and Applied 10 (1999)
Choe, K., Sclafani, A., Litner, J., Yu, G., Romo, T.: The korean american woman’s face. Archives of Facial Plastic Surgery 6(4), 244 (2004)
Bianchini, E.M.G.: Avaliaçao fonoaudiológica da motricidade oral-disturbios miofuncionais orafaciais ou situaçöes adaptativas; Speech-pathologist evaluation-orofacial myofunctional disorders or compensatory situation. Rev. Dent. Press Ortodon. Ortop. Maxilar 6(3), 73–82 (2001)
Ward, R., Jamison, P., Allanson, J.: Quantitative approach to identifying abnormal variation in the human face exemplified by a study of 278 individuals with five craniofacial syndromes. American Journal of Medical Genetics 91(1), 8–17 (2000)
Porter, J., Olson, K.: Anthropometric facial analysis of the african american woman. Archives of Facial Plastic Surgery 3(3), 191 (2001)
DeCarlo, D., Metaxas, D., Stone, M.: An anthropometric face model using variational techniques. In: Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, pp. 67–74. ACM (1998)
Kau, C., Richmond, S., Zhurov, A., Knox, J., Chestnutt, I., Hartles, F., Playle, R.: Reliability of measuring facial morphology with a 3-dimensional laser scanning system. American Journal of Orthodontics and Dentofacial Orthopedics 128(4), 424–430 (2005)
Hammond, P., Hutton, T., Allanson, J., Campbell, L., Hennekam, R., Holden, S., Patton, M., Shaw, A., Temple, I., Trotter, M.: 3d analysis of facial morphology. American Journal of Medical Genetics Part A 126(4), 339–348 (2004)
Schimmel, M., Christou, P., Houstis, O., Herrmann, F., Kiliaridis, S., Müller, F.: Distances between facial landmarks can be measured accurately with a new digital 3-dimensional video system. American Journal of Orthodontics and Dentofacial Orthopedics 137(5), 580–e1 (2010)
Weinberg, S., Scott, N., Neiswanger, K., Brandon, C., Marazita, M.: Digital three-dimensional photogrammetry: evaluation of anthropometric precision and accuracy using a genex 3d camera system. The Cleft Palate-Craniofacial Journal 41(5), 507–518 (2004)
Saragih J., Lucey S., Cohn J.: Deformable model fitting by regularized landmark mean-shift. International Journal of Computer Vision, 1–16 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Loconsole, C., Barbosa, N., Frisoli, A., Costa Orvalho, V. (2012). A New Marker-Less 3D Kinect-Based System for Facial Anthropometric Measurements. In: Perales, F.J., Fisher, R.B., Moeslund, T.B. (eds) Articulated Motion and Deformable Objects. AMDO 2012. Lecture Notes in Computer Science, vol 7378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31567-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-31567-1_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31566-4
Online ISBN: 978-3-642-31567-1
eBook Packages: Computer ScienceComputer Science (R0)