Synthesizing Facial Photometries and Corresponding Geometries Using Generative Adversarial Networks. G Shamai, R Slossberg, R Kimmel.

3dMD Customer Research, Normative Study, 3dMDface, 3dMDhead, Computer Science, Temporal-3D Systems (4D), 4D 3dMDface/head System, Computer Vision

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…

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.

3dMD Customer Research, Normative Study, Psychology, Temporal-3D Systems (4D)

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…

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.

3dMD Customer Research, Medical, Normative Study, Psychology, 3dMDbody, 3dMDbody System, Temporal-3D Systems (4D)

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…

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks. B Gecer, A Lattas, S Ploumpis, et al.

3dMD Customer Research, Computer Science, Temporal-3D Systems (4D), Computer Vision

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…

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

3dMD Customer Research, Psychology, Size & Fit | Wearable Tech | Apparel | Product Design, Computer Science, Size & Fit, Temporal-3D Systems (4D), Computer Vision

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…

Prospective Evaluation of Perioperative Steroid Dosing on Postsurgical Edema in Orthognathic Surgery. M Fay, JC Doucet.

3dMD Customer Research, Dental, Medical, 3dMDface, Oral and Maxillofacial, Orthognathic, 3dMDface System, Temporal-3D Systems (4D)

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…

Three-dimensional analysis of lip changes in response to simulated maxillary incisor advancement. J Au, L Mei, F Bennani, A Kang; M Farella.

3dMD Customer Research, Dental, Medical, Orthodontics, Temporal-3D Systems (4D)

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…

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision. S Sanyal, T Bolkart, H Feng, MJ Black.

3dMD Customer Research, Normative Study, 3dMDface, 3dMDhead, Computer Science, Temporal-3D Systems (4D), 4D 3dMDface/head System, Computer Vision

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…

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.

3dMD Customer Research, 3dMDhand, Computer Science, Temporal-3D Systems (4D), 4D 3dMDhand System, Computer Vision

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…

AMASS: Archive of Motion Capture as Surface Shapes. N Mahmood , N Ghorbani, NF Troje, G Pons-Moll, MJ Black.

3dMD Customer Research, Size & Fit | Wearable Tech | Apparel | Product Design, Computer Science, Size & Fit, Temporal-3D Systems (4D), Computer Vision

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…