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
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