基于3D人脸数据库的儿童面部发育评估

doi:10.3969/j.issn.0258-8021. 2014. 05.05

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Abstract It is acepted that people with inherited diseases, such as WS and DS, have features of facial abnormalities. This work was undertaken to establish 3D face database from birth to 18 years old and the facial growth norms of children of the Chinese Han population using 3D stereophotogrammetric devices. In this study, 5600 neutral expression subjects were collected including 2803 males and 2797 females. To build 3D face database, original 3D data were preprocessed, and the input faces were required to be well aligned to a reference face. In the first step, the face region was separated from 3D data based on the theory of the largest connectivity. Secondly, the coarse alignment was achieved by approximating a 3D affine transformation between the input face and the reference face. At last, the ICP algorithm was used to align the face more precisely. The database was applied to access the children facial growth by measuring 18 craniofacial indices of 55 DS faces and 30 WS faces, which came from Zhejiang province. Results show that the distribution of 763% intercanthal breadth is above the 90th percentile, the distribution of 618% nose length is under the 10th percentile, the distribution of 872% ear length is under the 10th percentile,and the distribution of 89% upper face depth is under the 10th percentile. The CVI is 1630～2117 in DS. For WS, the distribution of 50% nose breadth is above the 75th percentile, the distribution of 667% mouth breadth is above the 75th percentile, the distribution of 633% bitragal breadth is under the 25th percentile and CVI is 1714～2365. These results illustrate that the assessment system can reflect the feature of the special face, therefore the 3D face database provides a dependable 3D facial data for the research of children face. The research of facial growth assessment using the method of anthropometry has a wide range of applications, including children growth, evaluation of the abnormal face.

Key words： 3D face database children preprocessing facial growth assessment

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	LIN Sheng Liang JI Chai XU Lin ZHAO Zheng Yan^*

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LIN Sheng Liang JI Chai XU Lin ZHAO Zheng Yan^*. Assessment of Facial Growth for Children Based on ThreeDimensional Face Database[J]. journal1, 2014, 33(5): 546-555.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021. 2014. 05.05 OR http://cjbme.csbme.org/EN/Y2014/V33/I5/546

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