Modelling of facial growth in Czech children based on longitudinal data: Age progression from 12 to 15 years using 3D surface models

Forensic Science International

Volumn 248, Issue , 2015, Pages 33-40

  Koudelová, Jana ^a   Dupej, Ján ^a   Brůžek, Jaroslav ^a,b   Sedlak, Petr ^a   Velemínská, Jana ^a  

^a CHARLES UNIVERSITY   (Czech Republic)

^b CNRS   (France)

Author keywords

3D imaging; Age progression; Facial growth; Forensic anthropology population data; Longitudinal study

Indexed keywords

ADOLESCENCE; ADOLESCENT; AGING; ALGORITHM; ALLOMETRY; ANALYTICAL ERROR; ARTICLE; BIOLOGICAL MODEL; CHILD; CHIN; COMPUTER PREDICTION; CRANIOFACIAL MORPHOLOGY; CZECH (PEOPLE); EYE; EYEBROW; FACE GROWTH; FACIAL RECOGNITION; FEMALE; GENDER; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; LONGITUDINAL STUDY; MALE; MORPHOMETRICS; MOUTH; NOSE; RECOGNITION; SCHOOL CHILD; SEX DIFFERENCE; THREE DIMENSIONAL FACIAL SURFACE MODEL; THREE DIMENSIONAL IMAGING; COMPUTER SIMULATION; CZECH REPUBLIC; MAXILLOFACIAL DEVELOPMENT; MULTIVARIATE ANALYSIS; PHYSICAL ANTHROPOLOGY; PRINCIPAL COMPONENT ANALYSIS; SEXUAL DEVELOPMENT;

ADOLESCENT; CHILD; COMPUTER SIMULATION; CZECH REPUBLIC; FEMALE; FORENSIC ANTHROPOLOGY; HUMANS; IMAGING, THREE-DIMENSIONAL; LONGITUDINAL STUDIES; MALE; MAXILLOFACIAL DEVELOPMENT; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SEX CHARACTERISTICS;

EID: 84920911150     PISSN: 03790738     EISSN: 18726283     Source Type: Journal    
DOI: 10.1016/j.forsciint.2014.12.005     Document Type: Article

References (69)

1. Caharel S., Jiang F., Blanz V., Rossion B. Recognizing an individual face: 3D shape contributes earlier than 2D surface reflectance information. Neuroimage 2009, 47:1809-1818.
2. Aeria G., Claes P., Vandermeulen D., Clement J.G. Targeting specific facial variation for different identification tasks. Forensic Sci. Int. 2010, 201:118-124.
3. Cunha E., Baccino E., Martrille L., Ramsthaler F., Prieto J., Schuliar Y., et al. The problem of aging human remains and living individuals: a review. Forensic Sci. Int. 2009, 193:1-13.
4. International Commission on Missing Persons (n.d.). http://www.ic-mp.org/.
5. National centre for Missing and Exploited Children (n.d.). http://www.missingkids.com/.
6. Missing Children Europe (n.d.). http://missingchildreneurope.eu/.
7. Lampinen J.M., Miller J.T., Dehon H. Depicting the missing: prospective and retrospective person memory for age progressed images. Appl. Cogn. Psychol. 2012, 26:167-173.
8. Charman S.D., Carol R.N. Age-progressed images may harm recognition of missing children by increasing the number of plausible targets. J. Appl. Res. Mem. Cogn. 2012, 1:171-178.
9. Gibson S.J., Scandrett C.M., Solomon C.J., Maylin M.I.S., Wilkinson C.M. Computer assisted age progression. Forensic Sci. Med. Pathol. 2009, 5:174-181.
10. Mullins J. Age progression and regression. Craniofacial Identif. 2012, 68-75. Cambridge University Press, Cambridge.
11. Cardenas-Esguerra M., Vidal C., Cavalcante-Neto J.B., Vieira R. Facial aging simulation applied to the missing person problem. Inform. CLEI 2012 XXXVIII Conf. Latinoam. En 2012, 1-9.
12. Ramanathan N., Chellappa R. Modeling age progression in young faces. IEEE 2006, 387-394.
13. Scandrett (neé Hill) C., Solomon C., Gibson S. A person-specific, rigorous aging model of the human face. Pattern Recognit. Lett. 2006, 27:1776-1787.
14. Geng X., Zhou Z.H., Zhang Y., Li G., Dai H. Learning from Facial Aging Patterns for Automatic Age Estimation 2006, 307. ACM Press.
15. Liu J., Ma Y., Duan L., Wang F., Liu Y. Hybrid constraint SVR for facial age estimation. Signal Process. 2014, 94:576-582.
16. Cummaudo M., Guerzoni M., Gibelli D., Cigada A., Obertovà Z., Ratnayake M., et al. Towards a method for determining age ranges from faces of juveniles on photographs. Forensic Sci. Int. 2014, 239:e1-e7.
17. M. Ratnayake, Z. Obertová, M. Dose, P. Gabriel, H.M. Bröker, M. Brauckmann, et al. The juvenile face as a suitable age indicator in child pornography cases: a pilot study on the reliability of automated and visual estimation approaches, Int. J. Legal Med. (n.d.) 1-6. doi:10.1007/s00414-013-0875-y.
18. Zeng J., Ling H., Latecki L.J., Fitzhugh S., Guo G. Analysis of facial images across age progression by humans. ISRN Mach. Vis. 2012, 2012:1-7.
19. Gier V.S., Kreiner D.S., Hudnell W.J., Alerts A.M.B.E.R Are school-type photographs the best choice for identifying missing children?. J. Police Crim. Psychol. 2012, 27:9-23.
20. Stathopulu E., Antony Hulse J., Canning D. Difficulties with age estimation of Internet images of south-east Asian girls. Child Abuse Rev. 2003, 12:46-57.
21. Kusnoto B., Evans C.A. Reliability of a 3D surface laser scanner for orthodontic applications. Am. J. Orthod. Dentofacial Orthop. 2002, 122:342-348.
22. Kau C.H., Richmond S., Zhurov A.I., Knox J., Chestnutt I., Hartles F., et al. Reliability of measuring facial morphology with a 3-dimensional laser scanning system. Am. J. Orthod. Dentofacial Orthop. 2005, 128:424-430.
23. Hutton T.J., Buxton B.F., Hammond P. Dense surface point distribution models of the human face. Proc. IEEE Workshop Math. Methods Biomed. Image Anal. 2001, 153-160. IEEE, Kauai, Hawaii.
24. Hutton T.J., Buxton B.F., Hammond P., Potts H.W.W. Estimating average growth trajectories in shape-space using kernel smoothing. IEEE Trans. Med. Imaging 2003, 22:747-753.
25. Hammond P., Suttie M. Large-scale objective phenotyping of 3D facial morphology. Hum. Mutat. 2012, 33:817-825.
26. Hammond P., Hutton T.J., Allanson J.E., Campbell L.E., Hennekam R.C.M., Holden S., et al. 3D analysis of facial morphology. Am. J. Med. Genet. A. 2004, 126A:339-348.
27. Mao Z., Ju X., Siebert J.P., Cockshott W.P., Ayoub A. Constructing dense correspondences for the analysis of 3D facial morphology. Pattern Recognit. Lett. 2006, 27:597-608.
28. Enlow D.H., Hans M.G. Essentials of Facial Growth 1996, Saunders, Philadelphia.
29. Samal A., Subramani V., Marx D. Analysis of sexual dimorphism in human face. J. Vis. Commun. Image Represent. 2007, 18:453-463.
30. Bulygina E., Mitteroecker P., Aiello L. Ontogeny of facial dimorphism and patterns of individual development within one human population. Am. J. Phys. Anthropol. 2006, 131:432-443.
31. González-Ulloa M. The Aging Face 1987, Piccin, Padova.
32. Coleman S.R., Grover R. The anatomy of the aging face: volume loss and changes in 3-dimensional topography. Aesthet. Surg. J. 2006, 26(1 Suppl.):S4-S9.
33. Ferrario V.F., Sforza C., Serrao G., Ciusa V., Dellavia C. Growth and aging of facial soft tissues: a computerized three-dimensional mesh diagram analysis. Clin. Anat. 2003, 16:420-433.
34. Kau C.H., Richmond S. Three-dimensional analysis of facial morphology surface changes in untreated children from 12 to 14 years of age. Am. J. Orthod. Dentofacial Orthop. 2008, 134:751-760.
35. Delemarre-van de Waal H.A., van Coeverden S.C., Rotteveel J. Hormonal determinants of pubertal growth. J. Pediatr. Endocrinol. Metab. JPEM. 2001, 14(Suppl. 6):1521-1526.
36. Dupej J., Krajíček V., Velemínská J., Pelikán J. Statistical mesh shape analysis with nonlandmark nonrigid registration 2014, Poster presented at 12th Symposium on Geometry Processing, 9-11, July, Cardiff, UK.
37. Myronenko A., Song X. Point set registration: coherent point drift. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32:2262-2275.
38. Morphome3cs, MFF UK (n.d.). http://cgg.mff.cuni.cz/trac/morpho.
39. Anderson T.W. An Introduction to Multivariate Statistical Analysis 2003, Wiley-Interscience, Hoboken, NJ. 3rd ed.
40. Peres-Neto P.R., Jackson D.A., Somers K.M. How many principal components? Stopping rules for determining the number of non-trivial axes revisited. Comput. Stat. Data Anal. 2005, 49:974-997.
41. Besl P.J., McKay H.D. A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 1992, 14:239-256.
42. Kau C.H., Zhurov A., Richmond S., Bibb R., Sugar A., Knox J., et al. The 3-dimensional construction of the average 11-year-old child face: a clinical evaluation and application. J. Oral Maxillofac. Surg. 2006, 64:1086-1092.
43. Cattaneo C., Obertová Z., Ratnayake M., Marasciuolo L., Tutkuviene J., Poppa P., et al. Can facial proportions taken from images be of use for ageing in cases of suspected child pornography? A pilot study. Int. J. Legal Med. 2012, 126:139-144.
44. Park U., Tong Y., Jain A.K. Face recognition with temporal invariance: a 3D aging model. IEEE 2008, 1-7.
45. Bronstein A., Bronstein M., Kimmel R. Three-dimensional face recognition. Int. J. Comput. Vis. 2005, 5-30.
46. Han H., Otto C., Jain A.K. Age estimation from face images: human vs. machine performance. IEEE 2013, 1-8.
47. Hegu P.D., Suryawanshi P.J. Age progression based on facial aging patterns. 2012 Int. Conf. Adv. Eng. Sci. Manag. ICAESM 2012, 16-21.
48. Subtelny J.D. A longitudinal study of soft tissue facial structures and their profile characteristics, defined in relation to underlying skeletal structures. Am. J. Orthod. 1959, 45:481-507.
49. Dean D., Hans M.G., Bookstein F.L., Subramanyan K. Three-dimensional Bolton-Brush Growth Study landmark data: ontogeny and sexual dimorphism of the Bolton Standards cohort. Cleft Palate Craniofac. J. 2000, 37:145-156.
50. Snodell S.F., Nanda R.S., Currier G.F. A longitudinal cephalometric study of transverse and vertical craniofacial growth. Am. J. Orthod. Dentofacial Orthop. 1993, 104:471-483.
51. Djordjevic J., Pirttiniemi P., Harila V., Heikkinen T., Toma A.M., Zhurov A.I., et al. Three-dimensional longitudinal assessment of facial symmetry in adolescents. Eur. J. Orthod. 2013, 35:143-151.
52. Kwon Y.H., da Vitoria Lobo N. Age classification from facial images. Comput. Vis. Pattern Recognit. 1994 Proc. CVPR94 1994 IEEE Comput. Soc. Conf. On, IEEE 1994, 762-767.
53. Lin A.J., Lai S., Cheng F. Growth simulation of facial/head model from childhood to adulthood. Comput. Aided Des. Appl. 2010, 5:777-786.
54. Hennessy R.J., McLearie S., Kinsella A., Waddington J.L. Facial surface analysis by 3D laser scanning and geometric morphometrics in relation to sexual dimorphism in cerebral-craniofacial morphogenesis and cognitive function. J. Anat. 2005, 207:283-295.
55. Bugaighis I., Mattick C.R., Tiddeman B., Hobson R. Three-dimensional gender differences in facial form of children in the North East of England. Eur. J. Orthod. 2011, 35:295-304.
56. Shen C.T., Huang F., Lu W.H., Shih S.W., Liao H.Y.M. 3-D Age progression prediction in children's faces with a small exemplar-image set. J. Inf. Sci. Eng. 2014, 30:1131-1148.
57. Špačková J. Vývojové změny obličeje v období pubertálního spurtu ve vztahu k identifikacím nezletilých a juvenilních osob 2012, (Thesis), Faculty of Science, Charles University in Prague, Prague.
58. Evison M., Dryden I., Fieller N., Mallett X., Morecroft L., Schofield D., et al. Key parameters of face shape variation in 3D in a large sample. J. Forensic. Sci. 2010, 55:159-162.
59. Chakravarty M.M., Aleong R., Leonard G., Perron M., Pike G.B., Richer L., et al. Automated analysis of craniofacial morphology using magnetic resonance images. PLoS ONE 2011, 6:e20241.
60. Velemínská J., Bigoni L., Krajíček V., Borský J., Šmahelová D., Cagáňová V., et al. Surface facial modelling and allometry in relation to sexual dimorphism. HOMO 2012, 63:81-93.
61. Mitteroecker P., Gunz P., Windhager S., Schaefer K. A brief review of shape, form, and allometry in geometric morphometrics, with applications to human facial morphology,. Hystrix Ital. J. Mammal. 2013, 24:59-66.
62. Fink B., Grammer K., Mitteroecker P., Gunz P., Schaefer K., Bookstein F.L., et al. Second to fourth digit ratio and face shape. Proc. R. Soc. B: Biol. Sci. 2005, 272:1995-2001.
63. Marečková K., Weinbrand Z., Chakravarty M.M., Lawrence C., Aleong R., Leonard G., et al. Testosterone-mediated sex differences in the face shape during adolescence: subjective impressions and objective features. Horm. Behav. 2011, 60:681-690.
64. Enlow D.H. Facial Growth 1990, W.B. Saunders Company, Philadelphia.
65. Toma A.M., Zhurov A., Playle R., Richmond S. A three-dimensional look for facial differences between males and females in a British-Caucasian sample aged 151/2 years old. Orthod. Craniofac. Res. 2008, 11:180-185.
66. Genecov J.S., Sinclair P.M., Dechow P.C. Development of the nose and soft tissue profile. Angle Orthod. 1990, 60:191-198.
67. Ferrario V.F., Sforza C., Serrao G., Colombo A., Ciusa V. Soft tissue facial growth and development as assessed by the three-dimensional computerized mesh diagram analysis. Am. J. Orthod. Dentofacial Orthop. 1999, 116:215-226.
68. Bergman R.T., Waschak J., Borzabadi-Farahani A., Murphy N.C. Longitudinal study of cephalometric soft tissue profile traits between the ages of 6 and 18 years. Angle Orthod. 2014, 84:48-55.
69. Tome P., Fierrez J., Vera-Rodriguez R., Ramos D. Identification using face regions: Application and assessment in forensic scenarios. Forensic Sci. Int. 2013, 233:75-83.