Variation and signatures of selection on the human face. J Guo, J Tan, Y Yang, H Zhou, S Hu, A Hashan, N Bahaxar, S Xu, TD Weaver, L Jin, M Stoneking, K Tang.

Date: October 2014 Source: Journal of Human Evolution. Volume 75, pp 143–152. Abstract: There has been much debate about why humans throughout the world differ in facial form. Previous studies of human skull morphology found levels of among-population differentiation that were comparable to those of neutral genetic markers, suggesting that genetic drift (neutral processes) played…

Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics. K Kuru, M Niranjan, Y Tunca, E Osvank, T Azim.

Date: October 2014. Source: Artificial Intelligence in Medicine, 62(2):105-18. Background: In general, medical geneticists aim to pre-diagnose underlying syndromes based on facial features before performing cytological or molecular analyses where a genotype–phenotype interrelation is possible. However, determining correct genotype–phenotype interrelationships among many syndromes is tedious and labor-intensive, especially for extremely rare syndromes. Thus, a computer-aided…

On Site: Battling the Elements at Nike HyperSchool. Complex News.

Date: October 10, 2014. Source: Complex News. Complex Media Inc. Reporting: Sean Evans Nike introduced its 2014 base layer products this week, which the company bills as an athlete’s answer to “extreme heat and cold, wind and precipitation,” i.e. the Nike Hyperwarm kits that are ubiquitous​ to the West Side Highway running path. And, to…

Nike Takes Us to (Hyper)School. Just For Kicks News Post.

Date: October 9, 2014. Source: http://lifeofdad.com/blog_post.php?pid=18439. 3dMD customer Nike held Hyperschool in New York City to demonstrate their latest innovations in product development. “Nike designers, researchers and developers start with athlete insights in order to determine their needs. From there, they unlock these athlete insights in the Nike Explore Team Sport Research Lab by looking at athlete…

3dMD customer Nike held #Hyperschool in NYC to demonstrate their latest innovations in product development.

Date: October 2014. During the session, attendees were invited to get their entire body captured in 3D with our latest generation 3dMDbody10 System. Attendees were surprised by the ease and speed of capture (1.5 milliseconds) and amazed by the quality of their 3dMD surface image. 3dMD is proud that our 3D technology is contributing to…

Can I Recognize My Body’s Weight? The Influence of Shape and Texture on the Perception of Self. I Piryankova, J Stefanucci, J Romero, S de la Rosa, M Black, B Mohler.

Date: September 2014. Source: ACM Transactions on Applied Perception, Vol. 11, No. 3, Article 13. Abstract: The goal of this research was to investigate women’s sensitivity to changes in their perceived weight by altering the body mass index (BMI) of the participants’ personalized avatars displayed on a large-screen immersive display. We created the personalized avatars…

Towards an enhanced ERP speller based on the visual processing of face familiarity. SK Yeom; S Fazli; KR Müller; SW Lee.

Date: August 2014 Source: Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE in Chicago. Abstract. In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face…

Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data. J Wu, R Tse, LG Shapiro.

Date: August 2014. Source: Int. Conference on Pattern Recognition (ICPR) 2014, Stockholm, Sweden. © IEEE. Pages 460-464. Abstract: Cleft lip is a birth defect that results in deformity of the upper lip and nose. Its severity is widely variable and the results of treatment are influenced by the initial deformity. Objective assessment of severity would…

Perceptual differences between men and women: A 3D facial morphometric perspective. S Gilani, A Mian.

Date: August 2014 Source: Int. Conference on Pattern Recognition (ICPR) 2014, Stockholm, Sweden. © IEEE. pp 2413 – 2418. Abstract: Understanding the features employed by the human visual system in gender classification is considered a critical step towards improving machine based gender classification systems. We propose the use of 3D Euclidean and geodesic distances between…