MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis. A Papaioannou et al.
Imperial College London captures real-world MimicMe, a 4,700-subject 4D facial expression database, with 3dMD, presented at ECCV 2022.
Quantitative analysis of facial symmetry by using three-dimensional technology. Z Wu, X Gao, H Long et al.
The chin and lateral mandible contribute most significantly to the facial symmetry. The objective measurement of facial symmetry, 3D technology, is reliable.
3D human tongue reconstruction from single “in-the-wild” images. S Ploumpis, S Moschoglou, V Triantafyllou, S Zafeiriou.
Imperial College London and Huawei build a 3D tongue reconstruction model with 3dMD’s real-world Science Museum, London dataset.
A semi-automatic three-dimensional technique using a regionalized facial template enables facial growth assessment in healthy children from 1.5 to 5.0 years of age. R Bruggink, F Baan, S Brons, TGJ Loonen, AM Kuijpers-Jagtman, TJJ Maal, EM Ongkosuwito.
To develop a semi-automatic technique to evaluate normative facial growth in healthy children between the age of 1.5 and 5.0 years using three-dimensional stereophotogrammetric images.
Smile Reproducibility and Its Relationship to Self-Perceived Smile Attractiveness. D Dobreva, N Gkantidis, D Halazonetis, C Verna, G Kanavakis.
Our results show that lip morphology during smiling is highly consistent among young adults. Females presented higher consistency in the shape of the smile, including lip morphology, compared to males. Self-perceived smile attractiveness was not associated to smile consistency.
Genetic variants underlying differences in facial morphology in East Asian and European populations. M Zhang, S Wu, S Du, et al.
Evolutionary analyses suggest that the difference in nose shape between EUR and EAS populations is caused by a directional selection, due mainly to a local adaptation in Europeans. Our results illustrate the underlying genetic basis for facial differences across populations.
Landmark movement trajectory: A simple reference to understand the dominant muscle contraction in a dynamic smile expression. W Sun, M Xu, T Song.
Sixty volunteers (aged 18-45 years) were included, and standardized frontal view images were obtained by three-dimensional photogrammetry. Each image sequence frame was referenced and superimposed onto the neutral image.
Convolutional Mesh Autoencoders for the 3-dimensional Identification of FGFR-related Craniosynostosis. O’Sullivan, van de Lande, Papaioannou, Breakey, Jeelani, et al.
Great Ormond Street Hospital, Imperial College London, and Alder Hey use 3dMD data to train a 3D shape-based research model for analyzing craniofacial syndromes.
Three-Dimensional Evaluation of Soft Tissues in Hyperdivergent Skeletal Class II Females in Guangdong. X Zhang, J Deng, Z Wen, Z Chen, L Gan, J Zheng.
To establish the three-dimensional facial soft tissue morphology of adolescent and adult females in the Guangdong ethnic group and to study the morphological characteristics of hyperdivergent skeletal class Ⅱ females in Guangdong compared with the characteristics of normal groups.
Growing Old: Do Women and Men Age Differently? OAM Smith, C Duncan, N Pears, A Profico, P O’Higgins
University of York and Alder Hey use 3dMD’s real-world Headspace dataset to model craniofacial aging across adulthood, finding men and women age in distinct, non-linear patterns.