An overview of craniofacial reconstruction technology application in physical anthropology

doi:10.16359/j.cnki.cn11-1963/q.2020.0028

Abstract

Abstract:

Facial appearances are one of the most important features of humans. Facial shapes relied heavily on the geometric shape of skulls, craniofacial morphology relationship between skulls and faces and gender, age, ethnic, body mass index (BMI), nutritional status, etc. After the humans’ skeletons are excavated from archaeological sites, facial soft-tissue tissues and muscles usually have been disappeared. It has become one of hot topics for anthropologists and arachnologists to predict the facial appearances of these unidentified skulls. Traditional craniofacial reconstruction (CFR) methods are based on manual technologies that anthropologists collaborated with artists to model a facial appearance on a skull replica with plasticine. During recent thirty years, the improvement of medical image acquisitions technologies and the progress in computer technologies have had a great impact on CFR, and computerized CFR has become one of cutting-edge technologies in the interdisciplinary study of information science, physical anthropology and forensic science. The purpose of this paper is to give an overview of existing manual CFR methods, computerized CFR methods and assessment methods by summarizing the research methods of related literatures. Finally, this paper reviews the progresses of CFR application in physical anthropology and gives some suggestions for further research.

Key words: Cranioface, Reconstruction, Soft-tissue, Assessment

CLC Number:

DF795.6Q983

SHUI Wuyang, DENG Qingqiong, WU Xiujie, JI Yuan, LI Xiaoqun, ZHOU Mingquan. An overview of craniofacial reconstruction technology application in physical anthropology[J]. Acta Anthropologica Sinica, 2021, 40(04): 706-720.

Figures/Tables 7

Fig.1 Manual craniofacial reconstruction

Fig.2 Facial soft-tissue thickness measurements of anatomical landmarks[22]

Fig.3 Densely calculated Facial soft-tissue thickness measurements [42]

Fig.4 Craniofacial reconstruction method based on densely calculated facial soft-tissue thickness measurements[42]

Fig.5 Craniofacial reconstruction method based on skull registration[54]

Fig.6 Regional craniofacial reconstruction method based on partial least square regression[68]

Fig.7 Geometrical deviation of craniofacial reconstruction result

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