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Facial Landmarks for Forensic Skull-Based 3D Face Reconstruction: A Literature Review

  • Enrico Vezzetti
  • Federica MarcolinEmail author
  • Stefano Tornincasa
  • Sandro Moos
  • Maria Grazia Violante
  • Nicole Dagnes
  • Giuseppe Monno
  • Antonio Emmanuele Uva
  • Michele Fiorentino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9768)

Abstract

Recent Face Analysis advances have focused the attention on studying and formalizing 3D facial shape. Landmarks, i.e. typical points of the face, are perfectly suited to the purpose, as their position on visage shape allows to build up a map of each human being’s appearance. This turns to be extremely useful for a large variety of fields and related applications. In particular, the forensic context is taken into consideration in this study. This work is intended as a survey of current research advances in forensic science involving 3D facial landmarks. In particular, by selecting recent scientific contributions in this field, a literature review is proposed for in-depth analyzing which landmarks are adopted, and how, in this discipline. The main outcome concerns the identification of a leading research branch, which is landmark-based facial reconstruction from skull. The choice of selecting 3D contributions is driven by the idea that the most innovative Face Analysis research trends work on three-dimensional data, such as depth maps and meshes, with three-dimensional software and tools. The third dimension improves the accurateness and is robust to colour and lightning variations.

Keywords

Landmarks Fiducial point 3D face Forensic Reconstruction 

References

  1. 1.
    Farkas, L.: Anthropometry of the Head and Face in Medicine. Elsevier North Holland Inc., New York (1981)Google Scholar
  2. 2.
    Farkas, L.: Anthropometry of the Head and Face, 2nd edn. Raven Press, New York (1994)Google Scholar
  3. 3.
    Swennen, G., Schutyser, F., Hausamen, J.: Three-Dimensional Cephalometry: A Color Atlas and Manual. Springer Science & Business Media, Berlin (2005)Google Scholar
  4. 4.
    Preedy, V.: Handbook of Anthropometry Physical Measures of Human Form in Health and Disease. Springer, New York (2012)CrossRefGoogle Scholar
  5. 5.
    Vezzetti, E.: Adaptive sampling plan design methodology for reverse engineering acquisition. Int. J. Adv. Manufact. Technol. 42(7–8), 780–792 (2009)CrossRefGoogle Scholar
  6. 6.
    Vezzetti, E.: Computer aided inspection: design of customer-oriented benchmark for noncontact 3D scanner evaluation. Int. J. Adv. Manufact. Technol. 41(11–12), 1140–1151 (2009)CrossRefGoogle Scholar
  7. 7.
    Inada, E., Saitoh, I., Murakami, D., Kubota, N., Takemoto, Y., Iwasaki, T., Yamasaki, Y.: Relationship between nasal and skeletal landmarks on lateral cephalograms of adults. Aust. J. Forensic Sci. 46(3), 339–347 (2014)CrossRefGoogle Scholar
  8. 8.
    Bulut, O., Sipahioglu, S., Hekimoglu, B.: Facial soft tissue thickness database for craniofacial reconstruction in the Turkish adult population. Forensic Sci. Int. 242, 44–61 (2014)CrossRefGoogle Scholar
  9. 9.
    Shrimpton, S., Daniels, K., De Greef, S., Tilotta, F., Willems, G., Vandermeulen, D., Claes, P.: A spatially-dense regression study of facial form and tissue depth: towards an interactive tool for craniofacial reconstruction. Forensic Sci. Int. 234, 103–110 (2014)CrossRefGoogle Scholar
  10. 10.
    Parks, C., Richard, A., Monson, K.: Preliminary assessment of facial soft tissue thickness utilizing three-dimensional computed tomography models of living individuals. Forensic Sci. Int. 237, 146.e1–146.e10 (2014)CrossRefGoogle Scholar
  11. 11.
    Flynn, C., Stavness, I., Lloyd, J., Fels, S.: A finite element model of the face including an orthotropic skin model under in vivo tension. Comput. Methods Biomech. Biomed. Eng. 18(6), 571–582 (2015)CrossRefGoogle Scholar
  12. 12.
    Duan, F., Huang, D., Tian, Y., Lu, K., Wu, Z., Zhou, M.: 3D face reconstruction from skull by regression modeling in shape parameter spaces. Neurocomputing 151, 674–682 (2015)CrossRefGoogle Scholar
  13. 13.
    Guyomarc’h, P., Dutailly, B., Charton, J., Santos, F., Desbarats, P., Coqueugniot, H.: Anthropological facial approximation in three dimensions (AFA3D): computer-assisted estimation of the facial morphology using geometric morphometrics. J. Forensic Sci. 59(6), 1502–1516 (2014)CrossRefGoogle Scholar
  14. 14.
    Stephan, C.: The application of the central limit theorem and the law of large numbers to facial soft tissue depths: T-Table robustness and trends since 2008. J. Forensic Sci. 59(2), 454–462 (2014)CrossRefGoogle Scholar
  15. 15.
    Mehta, M., Saini, V., Nath, S., Patel, M., Menon, S.: CT scan images to determine the origin from craniofacial indices for Gujarati population. J. Forensic Radiol. Imag. 2(2), 64–71 (2014)CrossRefGoogle Scholar
  16. 16.
    Short, L., Khambay, B., Ayoub, A., Erolin, C., Rynn, C., Wilkinson, C.: Validation of a computer modelled forensic facial reconstruction technique using CT data from live subjects: a pilot study. Forensic Sci. Int. 237, 147.e1–147.e8 (2014)CrossRefGoogle Scholar
  17. 17.
    Calignano, F., Vezzetti, E.: Soft tissue diagnosis in maxillofacial surgery: a preliminary study on three-dimensional face geometrical features-based analysis. Aesthetic Plast. Surg. 34(2), 200–211 (2010)CrossRefGoogle Scholar
  18. 18.
    Vezzetti, E., Calignano, F., Moos, S.: Computer-aided morphological analysis for maxillo-facial diagnostic: a preliminary study. J. Plast. Reconstr. Aesthetic Surg. 63(2), 218–226 (2010)CrossRefGoogle Scholar
  19. 19.
    Vezzetti, E., Moos, S., Marcolin, F.: Three-dimensional human face analysis: soft tissue morphometry. In: Proceedings of the InterSymp 2011, Baden-Baden, Germany (2011)Google Scholar
  20. 20.
    Vezzetti, E.: Exploiting 3D ultrasound for fetal diagnostic purpose through facial landmarking. Image Anal. Stereology 33(3), 167 (2014)Google Scholar
  21. 21.
    Moos, S.: Cleft lip pathology diagnosis and foetal landmark extraction via 3D geometrical analysis. Int. J. Interact. Des. Manufact. (IJIDeM), 1–18 (2014)Google Scholar
  22. 22.
    Vezzetti, E., Marcolin, F.: F., M.: Geometrical descriptors for human face morphological analysis and recognition. Robot. Auton. Syst. 60(6), 928–939 (2012)CrossRefGoogle Scholar
  23. 23.
    Vezzetti, E., Marcolin, F.: Geometry-based 3D face morphology analysis: soft-tissue landmark formalization. Multimedia Tools Appl., 68(3), 895–929 (2014)CrossRefGoogle Scholar
  24. 24.
    Vezzetti, E., Marcolin, F.: 3D human face description: landmarks measures and geometrical features. Image Vis. Comput. 30(10), 698–712 (2012)CrossRefGoogle Scholar
  25. 25.
    Vezzetti, E., Moos, S., Marcolin, F., Stola, V.: A pose-independent method for 3D face landmark formalization. Comput. Methods Programs Biomed. 198(3), 1078–1096 (2012)CrossRefGoogle Scholar
  26. 26.
    Vezzetti, E., Marcolin, F., Stola, V.: 3D human face soft tissues landmarking method: an advanced approach. Comput. Ind. 64(9), 1326–1354 (2013)CrossRefGoogle Scholar
  27. 27.
    Vezzetti, E., Marcolin, F., Fracastoro, G.: 3D face recognition: an automatic strategy based on geometrical descriptors and landmarks. Robot. Auton. Syst. 62(12), 1768–1776 (2014)CrossRefGoogle Scholar
  28. 28.
    Vezzetti, E., Marcolin, F.: 3D landmarking in multiexpression face analysis: a preliminary study on eyebrows and mouth. Aesthetic Plast. Surg. 38, 796–811 (2014)CrossRefGoogle Scholar
  29. 29.
    Hünemeier, T., Gómez-Valdés, J., Azevedo, S., Quinto-Sánchez, M., Passaglia, L., Salzano, F., González-José, R.: FGFR1 signaling is associated with the magnitude of morphological integration in human head shape. Am. J. Hum. Biol. 26(2), 164–175 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Enrico Vezzetti
    • 1
  • Federica Marcolin
    • 1
    Email author
  • Stefano Tornincasa
    • 1
  • Sandro Moos
    • 1
  • Maria Grazia Violante
    • 1
  • Nicole Dagnes
    • 1
  • Giuseppe Monno
    • 2
  • Antonio Emmanuele Uva
    • 2
  • Michele Fiorentino
    • 2
  1. 1.Department of Management and Production EngineeringPolitecnico di TorinoTurinItaly
  2. 2.Department of Mechanics, Mathematics and ManagementPolitecnico di BariBariItaly

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