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 [1]. This demographic represents a $21.4 billion industry [1]. Over the last five years,…
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…
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…
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…
Date: June 2019. Source: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA. Abstract: 3D Morphable Models (3DMMs) are statistical models that represent facial texture and shape variations using a set of linear bases and more particular Principal Component Analysis (PCA). 3DMMs were used as statistical priors for reconstructing 3D…
Date: May 2019. Source: Orthodontics & Craniofacial Research. https://doi.org/10.1111/ocr.12278. Objective: To test smile dimension variations in adult African American and Caucasian females and males. Setting and Sample Population: The University of Alabama at Birmingham School of Dentistry and Hospital. Three hundred and ninety‐four participants were recruited; African American females and males distributed over five age…
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…
Date: April 2019. Source: Human Genetics 138, 681–689 (2019). https://doi.org/10.1007/s00439-019-02023-7. Abstract: In human society, the facial surface is visible and recognizable based on the facial shape variation which represents a set of highly polygenic and correlated complex traits. Understanding the genetic basis underlying facial shape traits has important implications in population genetics, developmental biology, and…
UVDB is a dataset developed for training the proposed UV-GAN. It has been built from three different sources with the first subset containing 3,564 subjects (3,564 unique identities with six expressions, 21,384 unique UV maps in total) scanned by the 3dMD device.
Study at MRC Unit The Gambia (MRCG) which aims to assess whether babies conceived in the dry season have greater variation (asymmetry) than those conceived in the rains.