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
Potential of 3D Surface Imaging for Quantitative Analysis of Fat Grafting. MK Markey, F Merchant, GP Reece et al.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Mia K Markey Session: Technical Session 3: 3D Face & Body Scanning in Medicine Abstract: Autologous fat grafting is increasingly employed to address volume asymmetry and contour irregularity following breast reconstruction for breast cancer. However, there are no well-established […]Read More
Effect of surrogate design on the measured stiffness of snowboarding wrist protectors. C Adams, D James, T Senior, T Allen, N Hamilton.
Date: September 2018. Source: Sports Engineering, Volume 21, Issue 3, pp 217–225. Abstract: In snowboarding, the wrist is the most common injury site, as snowboarders often put their arms out to cushion a fall. This can result in a compressive load through the carpals coupled with wrist hyperextension, leading to ligament sprains or carpal and […]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
A scale space approach for exploring structure in spherical data. V Vuollo, L Holmström.
Date: September 2018. Source: Computational Statistics & Data Analysis, Volume 125, pp 57-69. Highlights: • A novel scale space technique for analyzing spherical data is proposed. • Distributions of normal vector directions computed from a 3dMDhead image are analyzed. • A movie is a convenient way to explore the maps included in a SphereSiZer atlas. […]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
Estimating age and synthesising growth in children and adolescents using 3D facial prototypes. H Matthews, A Penington, J Clement et al.
Date: May 2018. Source: Forensic Science International, Volume 286, pp 61-69. Highlights: • Describes a framework for age estimation and growth prediction from 3D photographs. • Accuracy of both approaches is assessed. • This work can facilitate person identification and building 3D facial composites. Abstract: 3D facial images are becoming increasingly common. They provide more […]Read More
Comparison of an unsupervised machine learning algorithm and surgeon diagnosis in the clinical differentiation of metopic craniosynostosis and benign metopic ridge. MJ Cho, RR Hallac, M Effendi, JR Seaward, AA Kane.
Date: April 2018. Source: Scientific Reports, Volume 8, Article number: 6312. Abstract: Metopic suture closure can manifest as a benign metopic ridge (BMR), a variant of normal, to “true” metopic craniosynostosis (MCS), which is associated with severe trigonocephaly. Currently, there is no gold standard for how much associated orbitofrontal dysmorphology should trigger surgical intervention. In […]Read More
Genetics of the human face: Identification of large-effect single gene variants. DJM Crouch, B Winney, WP Koppen, WJ Christmas, K Hutnik, T Day, D Meena, A Boumertit, P Hysi, A Nessa, TD Spector, J Kittler, WF Bodmer.
Date: January 2018. Source: People of the British Isles, Newsletter Issue 7. Abstract: We have been studying the genetics underlying human facial features since the renewal of our PoBI grant from the Wellcome Trust in 2009. We have been doing this by going back to as many of the original volunteers as we could to […]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
Genetics of the human face: Identification of large-effect single gene variants. DJM Crouch, B Winney, WP Koppen, WJ Christmas, K Hutnik, T Day, D Meena, A Boumertit, P Hysi, A Nessa, TD Spector, J Kittler, WF Bodmer.
Date: October 2017 Source: PNAS | Proceedings of the National Academy of Sciences of the United States of America, doi: 10.1073/pnas.1708207114. Significance: The human face is extraordinarily variable, and the extreme similarity of the faces of identical twins indicates that most of this variability is genetically determined. We have devised an approach to increase the […]Read More
Correspondence of Breast Measurements for Bra Design After Reconstruction Surgery. KM NICKLAUS, J CHU, C LIU, GP REECE, FA MERCHANT, MC FINGERET, MK MARKEY.
Date: October 2017. Source: Proceedings of 3DBODY.TECH 2017. 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal, Canada. Abstract: Bra fit is a common quality of life problem for women with breast reconstruction. However, there is a lack of knowledge of how the changes in breast size and shape due to […]Read More
A Phenotypically Driven Segmentation for 3-D Facial Morphology: Modularity of 3-D Faces Through Spectral Clustering. D SERO, D VANDERMEULEN, P CLAES.
Date: June 2017 Source: Biological Shape Analysis: Proceedings of the 4th International Symposium (ISBSA), pp 249-258. School of Dentistry, UCLA, USA, 19–22 June 2015. Abstract: Facial morphology is the result of mazy interactions between environmental and epigenetic factors that lead to the composition of multiple subunits integrated to function as a whole. In this work, we […]Read More
Association Between Prenatal Alcohol Exposure and Craniofacial Shape of Children at 12 Months of Age. E Muggli, H Matthews, A Penington, et al.
Date: June 2017 (Online). Source: JAMA Pediatrics, doi:10.1001/jamapediatrics.2017.0778. Question: Is there an association between different levels of prenatal alcohol exposure and child craniofacial shape at 12 months? Findings: This cohort study conducted an objective and sensitive craniofacial phenotype analysis of 415 children, which showed an association between prenatal alcohol exposure and craniofacial shape at almost […]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
Quantitative Anthropometric Measures of Facial Appearance of Healthy Hispanic/Latino White Children: Establishing Reference Data for Care of Cleft Lip With or Without Cleft Palate. J Lee, B Ku, PD Combs et al.
Date: June 2017. Source: 3D Research (2017) 8:19. doi:10.1007/s13319-017-0128-9. Abstract: Cleft lip with or without cleft palate (CL ± P) is one of the most common congenital facial deformities worldwide. To minimize negative social consequences of CL ± P, reconstructive surgery is conducted to modify the face to a more normal appearance. Each race/ethnic group […]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
Large Scale 3D Morphable Models. J Booth, A Roussos, A Ponniah, D Dunaway, S Zafeiriou.
Date: April 2017. Source: International Journal of Computer Vision, pp 1–22. Abstract: We present large scale facial model (LSFM)—a 3D Morphable Model (3DMM) automatically constructed from 9663 distinct facial identities. To the best of our knowledge LSFM is the largest-scale Morphable Model ever constructed, containing statistical information from a huge variety of the human population. […]Read More
A new method for three-dimensional evaluation of the cranial shape and the automatic identification of craniosynostosis using 3D stereophotogrammetry. JW Meulstee1, LM Verhamme, WA Borstlap, F Van der Heijden, GA De Jong, T Xi, SJ Bergé, H Delye, TJJ Maal.
Date: April 2017 (Online). Source: International Journal of Oral and Maxillofacial Surgery. Abstract: Craniosynostosis is a congenital defect which can result in abnormal cranial morphology. Three dimensional (3D) stereophotogrammetry is potentially an ideal technique for the evaluation of cranial morphology and diagnosis of craniosynostosis because it is fast and harmless. This study presents a new […]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
Digital design of patient-specific abutments for the retention of implant-retained facial prostheses. C Kincade, L McHutchion, J Wolfaardt.
Date: March 2017. Source: Presented at the 2017 Annual Meeting of the Academy of Osseointegration, Orlando, Fla, March 2017 and the 6th Triennial Conference for Advanced Digital Technology in Head and Neck Reconstruction, Amiens, France, May 2017. Abstract: The present report describes the digital design of patient-specific milled abutments for the retention of osseointegrated facial […]Read More
Investigating the case of human nose shape and climate adaptation. AA Zaidi , BC Mattern, P Claes, B McEcoy, C Hughes, MD Shriver.
Date: March 2017. Source: PLoS Genetics 13(3): e1006616. Abstract: The evolutionary reasons for variation in nose shape across human populations have been subject to continuing debate. An import function of the nose and nasal cavity is to condition inspired air before it reaches the lower respiratory tract. For this reason, it is thought the observed […]Read More
A Parametric Model of Shoulder Articulation for Virtual Assessment of Space Suit Fit. KH KIM, KS YOUNG, Y BERNAL, A BOPPANA, LQ VU, EA BENSON, S JARVIS, SL RAJULU.
Date: December 2016 Source: 2016 International Conference on 3D Body Scanning, Lugano, Switzerland. Abstract: Suboptimal suit fit is a known risk factor for crew member shoulder injury. Suit fit assessment is however prohibitively time consuming and cannot be generalized across wide variations of body shapes and poses. In this work, we have developed a new […]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 Opens UA Lighthouse Manufacturing And Design Leadership Center In The Brand’s Hometown Of Baltimore. [3dMD is a best-in-class Lighthouse Development Partner.]
Date: June 28, 2016 Source: Under Armour, Inc. distributed via PR Newswire Headline: Under Armour Opens UA Lighthouse Manufacturing And Design Leadership Center In The Brand’s Hometown Of Baltimore. State-of-the-art Facility in the USA to Serve as the Epicenter for Product and Process Innovation. BALTIMORE, June 28, 2016 /PRNewswire/ — Today, Under Armour (NYSE: UA, […]Read More
The MC1R Gene and Youthful Looks. F Liu, MA Hamer, J Deelen, JS Lall, L Jacobs, D van Heemst, PG Murray, A Wollstein, AJM de Craen, HW Uh, CQ Zeng, A Hofman, AG Uitterlinden, JJ Houwing-Duistermaat, LM Pardo, M Beekman, PE Slagboom, T Nijsten, M Kayser, DA Gunn.
Date: April 2016. Source: Current Biology, Volume 26, Issue 9, 9 May 2016, Pages 1213–1220. Highlights: • We present the first genetic associations with how old people look (perceived age) • Variants in MC1R, a pigmentation gene, significantly associated with perceived age • The MC1R association was independent of wrinkling, skin color, and sun exposure […]Read More
Perception of Differences in Lip Profile between 2-D and 3-D. Andrew M Hansen D.D.S.
Date: April 2016. Source: Theses and Dissertations. Virginia Commonwealth University. Background: Past studies evaluating the esthetics of orthodontic treatment have been done using 2-D images. New 3-D imaging offers an improved, real-life representation of a subject. The purpose of this study was to determine how laypeople perceived differences in lip position (flat versus ideal lip […]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
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
Analysis of facial muscle activation in children with autism using 3D imaging. MD Samad, JL Bobzien, JW Harrington, KM Iftekharuddin.
Date: November 2015. Source: 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Pages 337-342. Washington, DC. Abstract: Autism Spectrum Disorder (ASD) impairs an individual’s non-verbal skills including natural and contextual facial expressions. Such impairments may manifest as odd facial expressions (facial oddity) based on subjective evaluations of facial images. A few studies conducted on […]Read More
Analysis of Characteristic Facial Features in Patients with Hypodontia using Three-Dimensional Imaging. S Ani, J Collins, S Cunningham, C Ruff.
Date: September 2015. Source: 8th International Orthodontic Congress 2015, London. Study Aims: To analyse the facial features associated with hypodontia using 3D surface imaging and establish the effect of its severity on facial morphology. Method: A study group of 70 hypodontia patients and a control group of 40 Class I patients were recruited to allow […]Read More
A Morphable Profile Model of the Human Head as an Outcome Tool for Craniosynostosis Surgery, C Duncan, R Armstrong, NE Pears.
Date: September 15, 2015. Source: 16th Congress of International Society of Craniofacial Surgery (ISCFS) 2015. Presenter: C Duncan. Introduction: Outcome analysis in craniosynostosis surgery is difficult and often relies on limited anthropometric measurement, qualitative analysis of photography or patient reported outcome. Quantifiable morphable models of the human face have been described but, to date, a […]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
Analysis of a 3D Anthropometric Data Set of Children for Design Applications. L Goto, W Lee, Y Song, J Molenbroek, R Goossens.
Date: August 2015 Source: Proceedings 19th Triennial Congress of the International Ergonomics Association (IEA 2015), Melbourne, Australia. Abstract: Designers integrate the use of anthropometric data in their design process to optimize the usability and functioning of a product while improving comfort and safety. Information regarding the size and shape of the human body are important […]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
The Use of 3D Imaging in Craniosynostosis; Surgical Planning; and Follow-Up. T Maal.
Date: June 24, 2015. Source: European Craniofacial Congress 2015, Gothenburg, Sweden. Presentation: The Use of 3D Imaging in Craniosynostosis; Surgical Planning; and Follow-Up. Presenter: Thomas J Maal, 3D Lab, Department of Oral- and Maxillofacial Surgery, Radboud University Medical Centre, Nijmegen, Netherlands.Read More
Methods for Extraction and Analysis of Shape and Asymmetry from Craniofacial 3D Images. TA Darvann.
Date: June 24, 2015. Source: European Craniofacial Congress 2015, Gothenburg, Sweden. Summary: Being able to compare images is one of the core technologies of medical image analysis. In order to quantify change, e.g. due to growth or surgery, it is necessary to compare two or more images. And as part of population studies it is […]Read More
A Solution to Face-to-Face Contact in Tele-Presence Systems. X Zhou, P Boulanger.
Date: June 2015 Source: 2015 12th Conference on Computer and Robot Vision (CRV) Proceedings (p 230 – 236), Halifax, Canada. Abstract: In tele-presence systems, direct face-to-face contact, is essential for emotional communication as it carries non-verbal clues. In commercial products, face-to-face contact is approximated by using either a large semi-transparent mirror to project an image […]Read More
Thesis: Investigating the Accuracy and Reproducibility of 3dMDface System for Soft Tissue Analysis. YM Kachroo.
Date: June 2015. Source: Theses. ProQuest, Publication No. 1590412. University of California, Los Angeles. Advisers: Yeumin Hong; Won Moon. Objective: Three-dimensional (3D) soft tissue (ST) changes from orthodontic treatment can now be evaluated with the development of 3D photography. However, the accuracy and reliability of this method is still in question. This study aims to […]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
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
3D surface imaging of the human female torso in upright to supine positions. GP Reece, F Merchant, J Andon, H Khatam, K. Ravi-Chandar, J Weston, MC Fingeret, CR Lane, KS Duncan, MK Markey.
Date: April 2015. Source: Medical, Engineering and Physics, Volume 37, Issue 4, Pages 375–383. Abstract: Three-dimensional (3D) surface imaging of breasts is usually done with the patient in an upright position, which does not permit comparison of changes in breast morphology with changes in position of the torso. In theory, these limitations may be eliminated if […]Read More