Learning to Dress 3D People in Generative Clothing. Q Ma, J Yang, A Ranjan, S Pujades, G Pons-Moll, S Tang, MJ Black.
Date: June 2020. Source: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA. Abstract: Three-dimensional human body models are widely used in the analysis of human pose and motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do not generalize to the complexity of dressed people in common […]Read More
Lumbar posture assessment with fabric strain sensors. LQ Vu, KH Kim, LJH Schulze, SL Rajulu.
Date: March 2020. Source: Computers in Biology and Medicine, Volume 118, 103624. Abstract: Astronauts are at risk for low back pain and injury during extravehicular activity because of the deconditioning of the lumbar region and biomechanical demands associated with wearing a spacesuit. To understand and mitigate injury risks, it is necessary to study the lumbar […]Read More
Assessing the Influence of Chin Asymmetry on Perceived Facial Esthetics With 3-Dimensional Images. T Dong, N Ye, L Yuan, S Wu, L Xia, B Fang.
Date: March 2020. Source: Journal of Oral and Maxillofacial Surgery. DOI: 10.1016/j.joms.2020.03.017. Objective: We used 3-dimensional (3D) images to assess the influence of chin asymmetry on perceived facial esthetics, investigate the cognitive boundaries of chin asymmetry among orthodontists, general dentists, and laypersons, and provide quantitative reference for clinical treatment. Materials and Methods: A 3D facial […]Read More
Three-Dimensional Facial Imaging for the Diagnosis of Complex Soft Tissue Secondary to Craniofacial Trauma. L Zou, S Holmes.
Date: March 2020. Source: Atlas of Operative Maxillofacial Trauma Surgery, pp 101-105, Springer, London. Abstract: Facial scanning is a relatively recent imaging modality that has been evolving over the past 30 years. It provides valid and reliable three-dimensional (3D) imaging. 3D facial images also provide objective quantifications of facial changes. Image capturing uses a noncontact […]Read More
Three-Dimensional Dynamic Analysis of the Facial Movement Symmetry of Skeletal Class III Patients With Facial Asymmetry. Z Xue; L Wu; TC Qiu.
Date: February 2020. Source: Journal of Oral and Maxillofacial Surgery, Volume 78, Issue 2, Pages 267-274. Objective: Dynamic asymmetry has not been as rigorously evaluated as static asymmetry for patients with skeletal deformity but could well be even more important. The aim of the present study was to evaluate the dynamic facial movement of Class […]Read More
Digital Workflow for Combined Orthodontics and Orthognathic Surgery. MH Elnagar, S Aronovich, B Kusnoto.
Date: February 2020. Source: Orthodontics for Oral and Maxillofacial Surgery Patient, an Issue of Oral and Maxillofacial Surgery Clinics of North America, Vol 32, No 1 (E-Book). Chapter: Digital Workflow for Combined Orthodontics and Orthognathic Surgery. Authors: Mohammed H Elnagar, DDS, MS, PhD; Sharon Aronovich, DMD, FRCD(C); and Budi Kusnoto, DDS, MS.Read More
Learning to Dress 3D People in Generative Clothing. QL Ma, JL Yang, A Ranjan, S Pujades, G Pons-Moll, SY Tang, MJ Black.
Date: December 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Three-dimensional human body models are widely used in the analysis of human pose and motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do not generalize to the complexity of dressed people in common images and videos. […]Read More
The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking. J Deng, A Roussos, G Chrysos et al.
Date: November 2019. Source: International Journal of Computer Vision, Volume 127, pages 599–624, https://doi.org/10.1007/s11263-018-1134-y. Abstract: In this article, we present the Menpo 2D and Menpo 3D benchmarks, two new datasets for multi-pose 2D and 3D facial landmark localisation and tracking. In contrast to the previous benchmarks such as 300W and 300VW, the proposed benchmarks contain […]Read More
Synthesizing Facial Photometries and Corresponding Geometries Using Generative Adversarial Networks. G Shamai, R Slossberg, R Kimmel.
Date: October 2019. Source: ACM Transactions on Multimedia Computing, Communications, and Applications, Article No.: 87 https://doi.org/10.1145/3337067. Abstract: Artificial data synthesis is currently a well-studied topic with useful applications in data science, computer vision, graphics, and many other fields. Generating realistic data is especially challenging, since human perception is highly sensitive to non-realistic appearance. In recent […]Read More
The development of a 3D body scan and composition database to assess body size perception in psychological research. N Maalin, SM Mohamed, RS Kramer, et al.
Date: October 2019. Source: 3DBODY.TECH 2019 – 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland. Abstract: Recently, there has been a shift towards the use of 3D scanning technology in body size perception research. Based on limitations of previous methodologies there is a need to develop and validate female […]Read More
How the U.S. Sport Performance Apparel Industry Sizes Up to Female Plus Bodies. SL Solkolowski, J Silbert, L Griffin.
Date: October 2019. Source: 3DBODY.TECH 2019 – 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland. Abstract: In the United States, about 68% of the female population is greater than a size 14, or plus size . This demographic represents a $21.4 billion industry . Over the last five years, […]Read More
Development of a 3D Body Database to Improve Measures of Perceptual Male Body Image Distortion. SM Mohamed, N Maalin, RS Kramer, A Irvine, PL Cornelissen, KL Ritchie, MJ Tovee.
Date: October 2019. Source: 3DBODY.TECH 2019 – 10th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Switzerland. Abstract: There are important limitations in the current methodological stimuli being used in perceptual body image research among men, including a reliance on unrealistic images, a lack of biometric validity, and little consideration of […]Read More
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. B Gecer, A Lattas, S Ploumpis, et al.
Date: September 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Generating realistic 3D faces is of high importance for computer graphics and computer vision applications. Generally, research on 3D face generation revolves around linear statistical models of the facial surface. Nevertheless, these models cannot represent faithfully either the facial texture […]Read More
The Influence of Visual Perspective on Body Size Estimation in Immersive Virtual Reality. A Thaler, S Pujades, JK Stefanucci, SH Creem-Regehr, J Tesch, MJ Black, and BJ Mohler
Date: September 2019. Source: ACM Symposium on Applied Perception 2019, University of Barcelona, Spain. Abstract: The creation of realistic self-avatars that users identify with is important for many virtual reality applications. However, current approaches for creating biometrically plausible avatars that represent a particular individual require expertise and are time-consuming. We investigated the visual perception of […]Read More
Prospective Evaluation of Perioperative Steroid Dosing on Postsurgical Edema in Orthognathic Surgery. M Fay, JC Doucet.
Date: September 2019. Source: Journal of Oral and Maxillofacial Surgery. Volume 77, Issue 9, Supplement, Page e11. Challenge: While there exists good evidence to support steroid use, there is no consensus on the optimal dose of methylprednisolone to be used in orthognathic surgery. The purpose of this study is to investigate the postoperative effects of […]Read More
Three-dimensional analysis of lip changes in response to simulated maxillary incisor advancement. J Au, L Mei, F Bennani, A Kang; M Farella.
Date: August 2019. Source: Angle Orthod. 2020;90:118–124. Objective: To assess the immediate response of lips in three dimensions (3D) resulting from simulated maxillary incisor advancement Materials and Methods: : Incremental maxillary incisor advancement was simulated by placing wax of increasing thickness (þ2 mm, þ4 mm, þ6 mm) on the incisors of 20 participants, and the […]Read More
Capture, Learning, and Synthesis of 3D Speaking Styles. D Cudeiro, T Bolkart, C Laidlaw, A Ranjan, MJ Black.
Date: June 2019. Source: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA. Proceedings Page(s): 10093-10103. Abstract: Audio-driven 3D facial animation has been widely explored, but achieving realistic, human-like performance is still unsolved. This is due to the lack of available 3D datasets, models, and standard evaluation metrics. To address […]Read More
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision. S Sanyal, T Bolkart, H Feng, MJ Black.
Date: June 2019. Source: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA. Proceedings Page(s): 7755-7764. Abstract: The estimation of 3D face shape from a single image must be robust to variations in lighting, head pose, expression, facial hair, makeup, and occlusions. Robustness requires a large training set of in-the-wild […]Read More
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AA Osman, D Tzionas, MJ Black.
Date: June 2019. Source: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA. Proceedings Page(s): 10967-10977. Abstract: To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. To achieve this, we […]Read More
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation. S Moschoglou, S Ploumpis, MA Nicolaou et al.
Date: May 2019. Source: International Journal of Computer Vision (2020). https://doi.org/10.1007/s11263-020-01329-8. Abstract: Over the past few years, Generative Adversarial Networks (GANs) have garnered increased interest among researchers in Computer Vision, with applications including, but not limited to, image generation, translation, imputation, and super-resolution. Nevertheless, no GAN-based method has been proposed in the literature that can […]Read More
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
Three-dimensional Facial Stereography and its Application in Orthognathic Surgery. SS WANG, J SHI, YJ SUN, ZJ XIE.
Date: March 2019. Source: Chinese Journal of Plastic and Reconstructive Surgery, Vol.1 No.1. Abstract: The facial three-dimensional stereophotography technology is based on digital stereogrammetry technology. According to different light sources, it can be divided into three kinds, active, passive and hybrid. This system can show characteristics of height, width and depth of facial soft tissues. […]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