3D real scans: We acquired 3D scans of 20 subjects (5 females and 15 males) with a 3dMD HR scanner. Subjects are mainly students and university personnel, 30 years old on average.
Date: December 2017. Source: Computing Research Repository, Cornell University – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Recently proposed robust 3D face alignment methods establish either dense or sparse correspondence between a 3D face model and a 2D facial image. The use of these methods presents new challenges as well as opportunities for facial texture…
Date: November 2017. Source: Machine Vision and Applications (2017). https://doi.org/10.1007/s00138-017-0887-6. Abstract: Registering a 3D facial model onto a 2D image is important for constructing pixel-wise correspondences between different facial images. The registration is based on a 3 ×× 4 dimensional projection matrix, which is obtained from pose estimation. Conventional pose estimation approaches employ facial landmarks…
3dMD CEO Chris Lane presented the latest advances in temporal-3D (motion) camera systems for human subject input applications that demand anatomical image precision such as the next generation of face, gesture, and body movement recognition innovations @IEEEorg Automatic Face and Gesture Recognition Conference #FG2017.
3dMD is excited to be taking part in a fascinating experiment studying facial expressions in collaboration with researchers from Imperial College London as part of the Science Museum’s ongoing Live Science programme from 10 April 2017 – 2 July 2017 in London. During the experiment visitors are asked to make a range of facial expressions…
Date: February 2016. Source: 2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Sendai. Presenter: Yuhang Wu. Abstract: In spite of recent progress achieved in near-frontal face recognition, the problem of pose variations prevalent in 2D facial images captured in the wild still remains a challenging and unsolved issue. Among existing approaches of…
Date: July 2015. Source: Health Monitoring and Personalized Feedback using Multimedia Data. Springer. Abstract: Craniofacial researchers have used anthropometric measurements taken directly on the human face for research and medical practice for decades. With the advancements in 3D imaging technologies, computational methods have been developed for the diagnoses of craniofacial syndromes and the analysis of…
Date: May 2015. Source: Journal of Cell Research, 25, 574-587. Abstract: Aging is associated with many complex diseases. Reliable prediction of the aging process is important for assessing the risks of aging-associated diseases. However, despite intense research, so far there is no reliable aging marker. Here we addressed this problem by examining whether human 3D…
Date: October 2014. Source: 3D Body Scanning Conference 2014, Lugano, Switzerland. Abstract: Facial biometrics as an objective, accurate, living parts measurement methodology, is widely used in assisting diagnose and treatment plan within the practice of medicine and dentistry. It is particularly popular that the quantification of changes before and after a clinical intervention. However the…
Date: October 2014. Source: Artificial Intelligence in Medicine, 62(2):105-18. Background: In general, medical geneticists aim to pre-diagnose underlying syndromes based on facial features before performing cytological or molecular analyses where a genotype–phenotype interrelation is possible. However, determining correct genotype–phenotype interrelationships among many syndromes is tedious and labor-intensive, especially for extremely rare syndromes. Thus, a computer-aided…