UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition. J Deng, S Cheng, N Xue, Y Zhou, S Zafeiriou.
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 […]Read More
Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration. Y Wu, SK Shah, IA Kakadiaris.
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 […]Read More
3dMD presents latest application of its technology at the @IEEEorg Automatic Face and Gesture Recognition Conference in Washington, DC.
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.Read More
2017 Facial Expression Experiment at the Science Museum, London
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 […]Read More
Rendering or normalization? An analysis of the 3D-aided pose-invariant face recognition. YH Wu, SK Shah, IA Kakadiaris.
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 […]Read More
Craniofacial Image Analysis. E Mercan, I Atmosukarto, J Wu, S Liang, LG Shapiro.
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 […]Read More
Three-dimensional human facial morphologies as robust aging markers. W Chen, W Qian, G Wu, W Chen, B Xian, X Chen, Y Cao, CD Green, F Zhao, K Tang, JD Han.
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 […]Read More
Establishment of Reference Frame for Sequential Facial Biometrics. L Zou, P Hao, M McCarthy
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 […]Read More
Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics. K Kuru, M Niranjan, Y Tunca, E Osvank, T Azim.
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 […]Read More
Towards an enhanced ERP speller based on the visual processing of face familiarity. SK Yeom; S Fazli; KR Müller; SW Lee.
Date: August 2014 Source: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE in Chicago. Abstract. In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face […]Read More
Perceptual differences between men and women: A 3D facial morphometric perspective. S Gilani, A Mian.
Date: August 2014 Source: Int. Conference on Pattern Recognition (ICPR) 2014, Stockholm, Sweden. © IEEE. pp 2413 – 2418. Abstract: Understanding the features employed by the human visual system in gender classification is considered a critical step towards improving machine based gender classification systems. We propose the use of 3D Euclidean and geodesic distances between […]Read More
BBC News: Cardiff University uses 3D scans to help facial surgery.
Date: 2 August 2013 Source: BBC News News: Cardiff University uses 3D scans to help facial surgery. Patients who need facial surgery and those recovering from strokes could benefit from world-leading research of analysing facial movements in 3D. Scientists at Cardiff University are using cutting-edge face scanners developed by American firm 3dMD. The technology can […]Read More
Cardiff Scientists and 3dMD Enter a New Dimension in 3D/4D Facial Imaging.
Anaheim, California (23-July-13): A team of Cardiff University clinicians and computer scientists can, for the first time, carry out facial movement research and transform the way patients needing facial surgery are assessed and monitored thanks to a new state-of-the-art 3D surface motion imaging system from 3dMD (3dMD exhibiting at #SIGGRAPH2013 Booth 226). Working alongside the […]Read More
Florence faces: A dataset supporting 2D/3D face recognition. AD Bagdanov, A Del Bimbo, I Masi.
Date(s): May 2-4, 2012 Source: 5th International Symposium on Communications Control and Signal Processing (ISCCSP) 2012, Rome, Italy Abstract: This article describes a new dataset under construction at the Media Integration and Communication Center and the University of Florence. The dataset consists of high-resolution 3D scans of human faces from each subject, along with several […]Read More
Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition. G Passalis, P Perakis, T Theoharis, and IA Kakadiaris.
Date: November 2011. Source: IEEE Transactions on Pattern Analysis and Machine Intelligence (impact factor: 4.91). Abstract: The uncontrolled conditions of real-world biometric applications pose a great challenge to any face recognition approach. The unconstrained acquisition of data from uncooperative subjects may result in facial scans with significant pose variations along the yaw axis. Such pose […]Read More
3D Facial Gestures in Biometrics: from Feasibility Study to Application. L Benedikt, D Cosker, PL Rosin and D Marshall.
Date: Sept. 2008. Source: Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference; pp 1-6. Abstract: The human face has been so far mainly seen as a physiological biometric and very little work has been done to exploit the idiosyncrasies of facial gestures for person identification. This study proposes a markerless method […]Read More
3dMD Captures ABC News Anchor Peter Jennings in 3D on ABC’s Primetime Live
Date: Thursday, January 20, 2005 at 10 pm. Source: ABC Primetime Live Excerpt from: “Peter Jennings Reporting: No Place to Hide” The segment starts with Mr Jennings getting his image captured with 3dMD’s system. His 3D image processes and is prominently displayed on the 3dMDface System, while Dr Joseph Atick gives his viewpoint on today’s […]Read More
3dMD Customer Arizona State University Enrolls More Than 500 Subjects for Biometrics Analysis and Authentication Research During SIGGRAPH 2004
Date: August 2004 Source: Press Announcement Headline: 3dMD Customer Arizona State University Enrolls More Than 500 Subjects for Biometrics Analysis and Authentication Research During SIGGRAPH 2004 Atlanta (13-August-2004): 3dMD, the world’s market leader in ultra-fast 3D surface imaging, today announced its customer’s success of scanning more than 500 faces at SIGGRAPH to build an extensive […]Read More