AMASS: Archive of Motion Capture as Surface Shapes. N Mahmood , N Ghorbani, NF Troje, G Pons-Moll, MJ Black.
Date: April 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion. While there are many […]Read More
MeshGAN: Non-linear 3D Morphable Models of Faces. S Cheng, M Bronstein, Y Zhou, I Kotsia, M Pantic, S Zafeiriou.
Date: April 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data. Certain GAN architectures and training methods have demonstrated exceptional performance in generating realistic synthetic images (in particular, of human faces). However, for 3D object, GANs still […]Read More
Intelligent Harvesting of High-Precision 4D Data of Human Subjects in a Personalized Digital Economy. Chris Lane.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Chris LANE, 3dMD Ltd. Session: Technical Session 10: Full Body Scanning & ProcessingRead More
Pushing the Envelope in Dense-Surface 4D/Motion Capture of the Body, Head, Hands, and Feet. Chris Lane.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Chris LANE, 3dMD Ltd. Session: Technical Session 2: 3D Body Scanning Systems IRead More
A New Method for Finding the Shoulder Complex Rotation Centre Using 3D Body Scanning. SG Rozevink, I Kingma, D Spies et al.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: SG Rozevink Session: Technical Session 1: Medical Applications Abstract: To avoid radiation exposure to the body, the rotation centre of the shoulder complex is often assessed using the Optotrak motion capture system instead of X-ray imaging. Recently, 3D body […]Read More
DeepWrinkles: Accurate and Realistic Clothing Modeling. Zorah Lähner, Daniel Cremers, Tony Tung.
Date: September 2018. Source: 15th European Conference on Computer Vision (ECCV), Munich, Germany. Abstract: We present a novel method to generate accurate and realistic clothing deformation from real data capture. Previous methods for realistic cloth modeling mainly rely on intensive computation of physics-based simulation (with numerous heuristic parameters), while models reconstructed from visual observations typically […]Read More
Generating 3D Faces using Convolutional Mesh Autoencoders. A Ranjan, T Bolkart, S Sanyal, MJ Black.
Date: September 2018. Source: 15th European Conference on Computer Vision (ECCV), Munich, Germany, (pp 704-720). Abstract: Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation. Traditional models learn a latent representation of […]Read More
An Articulating Statistical Shape Model of the Human Hand. Van Houtte J et al.
Date: July 2018. Source: International Conference on Applied Human Factors and Ergonomics (AHFE 2018). Advances in Human Factors in Simulation and Modeling. Advances in Intelligent Systems and Computing, Vol 780, pp 433-445. Springer. Abstract: This paper presents a registration framework for the construction of a statistical shape model of the human hand in a standard […]Read More
HDFD – A High Deformation Facial Dynamics Benchmark for Evaluation of Non-Rigid Surface Registration and Classification. G Andrews, S Endean, R. Dyke , Y Lai , G Ffrancon , GKL Tam.
Date: July 2018. Source: Cornell University Library – arXiv.org, Computer Science, Computer Vision. Abstract: Objects that undergo non-rigid deformation are common in the real world. A typical and challenging example is the human faces. While various techniques have been developed for deformable shape registration and classification, benchmarks with detailed labels and landmarks suitable for evaluating […]Read More
Craniomaxillofacial Reconstruction Based on 3D Modeling. GT Grant.
Date: June 2018. Source: Digital Technologies in Craniomaxillofacial Surgery, pp 55-65. Abstract: Current treatment planning and reconstruction of craniofacial trauma has been advanced greatly due to the increase in the use of software to convert medical image files in the form of Digital Imaging and Communications in Medicine (DICOM) to 3D reconstructions and ultimately files […]Read More
Upper Lip Asymmetry During Smiling: An Analysis Using Three-Dimensional Images. A Mathis, DM Laskin, E Tüfekçi, C Caricco, SJ Lindauer.
Date: June 2018. Source: Journal of Turkish Orthodontics; 31: 32-6. Objective: : The aim of this study was to use three-dimensional images to determine the presence of upper lip asymmetry at rest and during smiling in a group of individuals with no history of orthodontics or facial cosmetic surgery. Methods: Standardized three-dimensional frontal resting and smiling […]Read More
Body size estimation of self and others in females varying in BMI. A Thaler, MN Geuss, SC Mölbert, KE Giel, S Streuber, J Romero, MJ Black, BJ Mohler.
Date: February 2018. Source: PLOS One. 13(2): e0192152. Abstract: Previous literature suggests that a disturbed ability to accurately identify own body size may contribute to overweight. Here, we investigated the influence of personal body size, indexed by body mass index (BMI), on body size estimation in a non-clinical population of females varying in BMI. We attempted […]Read More
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
Embodied Hands: Modeling and Capturing Hands and Bodies Together. J Romero, D Tzionas, MJ Black.
Date: November 2017. Source: ACM Transactions on Graphics (TOG) – Proceedings of ACM SIGGRAPH Asia 2017. Abstract: Humans move their hands and bodies together to communicate and solve tasks. Capturing and replicating such coordinated activity is critical for virtual characters that behave realistically. Surprisingly, most methods treat the 3D modeling and tracking of bodies and […]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
The influence of dexamethasone on postoperative swelling and neurosensory disturbances after orthognathic surgery: a randomized controlled clinical trial. W Semper-Hogg, MA Fuessinger, TW Dirlewanger, CP Cornelius, MC Metzger.
Date: November 2017. Source: Head & Face Medicine 2017 13:19. Background: Orthognathic surgery is associated with considerable swelling and neurosensory disturbances. Serious swelling can lead to great physical and psychological strain. A randomized, prospective, controlled clinical trial was realized in order to evaluate the effect of a preoperative intravenous dexamethasone injection of 40 mg on […]Read More
4D Movies Capture People in Clothing, Creating Realistic Virtual Try-on. M Black, G Pons-Moll, S Pujades.
Date: August 2017 Source: SIGGRAPH 2017, Los Angeles, CA, USA Overview: Researchers at the Max Planck Institute for Intelligent Systems (MPI-IS) have developed technology to digitally capture clothing on moving people, turn it into a 3D digital form, and dress virtual avatars with it. This new technology makes virtual clothing try-on practical. ClothCap uses 4D […]Read More
Watch Willie Geist get a 3dMD model of himself at the Under Armour factory.
During his tour of Under Armour’s factory with CEO Kevin Plank, Sunday TODAY’s Willie Geist gets a 3D body model of himself created with the 3dMD technology the company uses to make custom clothes for athletes.Read More
The Evolution from Static-3D Scanning. 3dMD CEO presents at Wear 2017.
3dMD CEO Chris Lane presents the application of our temporal-3dMDbody (motion) systems to the next generation of wearable technology innovations at the Wear 2017 Conference in San Francisco, USA.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
Detailed, accurate, human shape estimation from clothed 3D scan sequences. C Zhang, S Pujades, M Black, G Pons-Moll.
Date: March 2017. Source: researchgate.net (goo.gl/scholar/d1zUSr) Abstract: We address the problem of estimating human body shape from 3D scans over time. Reliable estimation of 3D body shape is necessary for many applications including virtual try-on, health monitoring, and avatar creation for virtual reality. Scanning bodies in minimal clothing, however, presents a practical barrier to these […]Read More
Body Labs and 3dMD Announce Partnership to Deliver First End-to-End 3D Body Scan Processing Solution.
NEW YORK — October 5, 2016 — Body Labs, provider of the world’s most advanced technology for analyzing the human body’s shape, pose and motion, announced today a partnership with 3dMD, the world’s leading provider of high-precision static-3D and temporal-3D (marker-less 4D) systems for seamlessly capturing the human body’s anatomical shape, pose, and motion, to […]Read More
A first look inside the new facility where Under Armour creates athletic apparel of the future. Business Insider.
Date: July 8, 2016. Source: Business Insider. Summary: Under Armour’s new innovation lab, the Lighthouse, is a state-of-the art facility to create and test the next generation of athletic products. It will also create new capabilities for faster and more efficient manufacturing.Read More
Latest 3dMDbody.t System (7fps) demonstrated by customer at ISEA 2016 in Delft.
Date: July 2016 Source: 11th conference of the International Sports Engineering Association. Delft, The Netherlands. Activity: The latest-generation dynamic 3dMDbody.t System (7fps) located in the Industrial Design Engineering School, TU Delft, a long-standing 3dMD customer, was demonstrated to delegates participating in the 11th conference of the International Sports Engineering Association.Read More
Under Armour’s new innovation lab has sneaker-making robots and high-tech body scanners. Tech Insider.
Date: June 28, 2016 Source: Tech Insider. By Leanna Garfield Headline: The process of making athletic shoes and clothing has changed very little in the last half-century. Apart from industrial-sized machines that speed up production, many factories’ operations look pretty similar. Under Armour wants to reinvent the process in its giant design and manufacturing test […]Read More
Appealing Female Avatars from 3D Body Scans: Perceptual Effects of Stylization. R Fleming, BJ Mohler, J Romero, MJ Black, M Breidt.
Date: March 2016. Source: Semantic Scholar.org. Abstract: Advances in 3D scanning technology allow us to create realistic virtual avatars from full body 3D scan data. However, negative reactions to some realistic computer generated humans suggest that this approach might not always provide the most appealing results. Using styles derived from existing popular character designs, we […]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
A Multiresolution 3D Morphable Face Model and Fitting Framework. P Huber, GS Hu, R Tena, P Mortazavian, WP Koppen.
Date: February 2016. Source: VISAPP 2016: The 11th International Conference on Computer Vision Theory and Applications, Rome, Italy. Abstract: 3D Morphable Face Models are a powerful tool in computer vision. They consist of a PCA model of face shape and colour information and allow to reconstruct a 3D face from a single 2D image. 3D […]Read More
Dyna: A Model of Dynamic Human Shape in Motion. Gerard Pons-Moll, Javier Romero, Naureen Mahmood, Michael J. Black.
Date: August 2015. Source: SIGGRAPH 2015. Journal ACM Transactions on Graphics (TOG), Volume 34 Issue 4, Article No. 120. SIGGRAPH Presentation: https://youtu.be/mWthea2K8-Q Abstract: To look human, digital full-body avatars need to have soft-tissue deformations like those of real people. We learn a model of soft-tissue deformations from examples using a high-resolution 4D capture system and […]Read More
This 4D scanner captures your unique bodily ‘jiggle,’ by Liat Clark.
Date: 11 August 15 Headline: This 4D scanner captures your unique bodily ‘jiggle’ by Liat Clark Source: http://www.wired.co.uk/news/archive/2015-08/11/modelling-body-fat-jiggle-in-4d The future avatars we embody will show every lump, bump and jiggle of our soft human flesh – and you have tech to thank. A team at the Max Planck Institute for Intelligent Systems (MPI-IS) has developed […]Read More
Validation of a new method to measure facial soft tissue movements. CA Trotman, T Lu, V Sirianna.
Date: May 2015. Source: International Association for Dental Research, Boston, USA. Poster: #4342. Authors: CA Trotman, T Lu, V Sirianna. School of Dentistry, University of North Carolina at Chapel Hill, USA.Read More
The Latest Applications of Temporal-3D (4D) to Support Clinical Initiatives. CR Lane.
Date: October 2014. Source: 3D Body Scanning Conference 2014, Lugano, Switzerland. Abstract: In 2011 3dMD and the University of North Carolina at Chapel Hill, School of Dentistry, were awarded a ground-breaking US NIH Grant (STTR Grant No. 2R42DE019742-02) to study the facial dynamics of children who had received corrective treatment for facial conditions. The recruitment […]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
Automated Three Dimensional (3D) Measures of the Static Face in Normal and Dysmorphic Conditions: Novel Technology for Facial Measurement. CA Trotman, C Heaston, C Phillips, A Mercado, N Lee, T Hartman.
Date: May 2013 Source: 12th International Congress on Cleft Lip/Palate and Related Craniofacial Anomalies, Lake Buena Vista, Florida Abstract: #1772 Authors: CA Trotman, C Heaston, C Phillips, A Mercado, N Lee, T Hartman. School of Dentistry, University of North Carolina at Chapel Hill, USA.Read More
3dMD is awarded Phase II of STTR Grant with UNC at Chapel Hill for a Dynamic 4D Facial Soft Tissue Analysis System.
Date: November 2012 Source: Press Announcement Headline: 3dMD is awarded Phase II of STTR Grant No. 2R42DE019742-02 with the University of North Carolina at Chapel Hill, Co-Principal Investigator Dr Carroll Ann Trotman, for a Dynamic 4D Facial Soft Tissue Analysis System. Atlanta (21-November-12): 3dMD, the 3D surface imaging system and software developer who has actively supported […]Read More
The Breakthrough Potential for Dynamic High-Frame Rate 3D Dense Surface Capture. CR Lane.
Date: October 16-17, 2012 Source: 3rd International Conference on 3D Body Scanning Technologies 2012, Lugano, Switzerland Presentation: The Breakthrough Potential for Dynamic High-Frame Rate 3D Dense Surface Capture. Invited Speaker: Christopher R Lane, CEO of 3dMDRead More
3dMD Launches Its Production 4D Technology-Based 3dMDface Dynamic System For New UK Customer, Cardiff University
Date: 8 February 2005 Source: 3dMD Press Release Article: 3dMD (www.3dMD.com), the world’s market leader in ultra-fast 3D surface imaging, is proud to announce the official launch of its production 4D technology-based 3dMDface Dynamic System of which the first was delivered and commissioned to Cardiff University in January 2005. This latest generation “4D system” is […]Read More
Statistical modelling of lip movement in the clinical context. H Popat, AI Zhurov, AM Toma, S Richmond, D Marshall, PL Rosin.
Date: May 2012. Source: Orthodontics & Craniofacial Research; Volume 15, Issue 2, pp 92–102. Objective: To establish three-dimensional (3D) reference data on average lip movement in normal healthy subjects using statistical shape analysis techniques. Setting and Sample Population: School of Dentistry and Cardiff School of Computer Science, Cardiff University, United Kingdom. One hundred and fifteen […]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
3dMD is awarded Phase I of STTR Grant with UNC at Chapel Hill for a Dynamic 4D Facial Soft Tissue Analysis System.
Date: March 2011 Source: Press Announcement Headline: 3dMD is awarded Phase I of STTR Grant No. 1R41DE019742-01A1 with the University of North Carolina at Chapel Hill, Co-Principal Investigator Dr Carroll Ann Trotman, for a Dynamic 4D Facial Soft Tissue Analysis System. Atlanta (15-March-11): We are delighted to announce that 3dMD, working in conjunction with the Department of […]Read More
Quantitative analysis of facial movement—A review of three-dimensional imaging techniques. H Popat, S Richmond , L Benedikt , D Marshall , PL Rosin.
Date: July 2009. Source: Computerized Medical Imaging and Graphics. Volume 33, Issue 5 , Pages 377-383. Abstract: Objective analysis of facial movement forms an important consideration in the assessment and outcome of several medical disciplines. Technological advances in the field of medical imaging have meant techniques to measure facial movement have evolved from subjective grading […]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