Validation of a new method to measure facial soft tissue movements. CA Trotman, T Lu, V Sirianna.

3dMD Customer Research, Computer Science | Computer Vision, Dental, Genetics, Human Factors | Anthropometric, Medical, Psychology, Anthropometric, Computer Science, Morphometrics, Craniofacial/Cleft, Oral and Maxillofacial, Orthodontics, Plastics, Temporal-3D Systems (4D)

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.

Monitoring of Therapy for Mucopolysaccharidosis Type I Using Dysmorphometric Facial Phenotypic Signatures. Stefanie Kung, M Walters, P Claes, P LeSouef, J Goldblatt, A Martin, S Balasubramaniam, G Baynam.

3dMD Customer Research, Computer Science | Computer Vision, Genetics, Human Factors | Anthropometric, Medical, 3dMDface, Anthropometric, Computer Science, Morphometrics, 3dMDface System

Date: March 2015. Source: JIMD Reports 2015, Springer. Abstract: There is a pattern of progressive facial dysmorphology in mucopolysaccharidosis type I (MPS I). Advances in 3D facial imaging have facilitated the development of tools, including dysmorphometrics, to objectively and precisely detect these facial phenotypes. Therefore, we investigated the application of dysmorphometrics as a noninvasive therapy-monitoring…

Establishment of Reference Frame for Sequential Facial Biometrics. L Zou, P Hao, M McCarthy

3dMD Customer Research, Biometric Security, Dental, Genetics, Human Factors | Anthropometric, Medical, 3dMDface, Anthropometric, Computer Science, Facial Recognition, Oral and Maxillofacial, Orthodontics, Plastics, 3dMDface System

Date: October 2014. Source: 3D Body Scanning Conference 2014, Lugano, Switzerland. Abstract: Facial biometrics as an objective, accurate, living parts measurement methodology, is widely used in assisting diagnose and treatment plan within the practice of medicine and dentistry. It is particularly popular that the quantification of changes before and after a clinical intervention. However the…

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.

3dMD Customer Research, Computer Science | Computer Vision, Human Factors | Anthropometric, Psychology, 3dMDface, Anthropometric, Computer Science, Morphometrics, 3dMDface System

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.

3dMD Customer Research, Biometric Security, Computer Science | Computer Vision, Genetics, Human Factors | Anthropometric, Medical, 3dMDface, Anthropometric, Facial Recognition, Morphometrics, Craniofacial/Cleft, Plastics, 3dMDface System

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…

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.

3dMD Customer Research, Human Factors | Anthropometric, 3dMDbody, Anthropometric, Computer Science, 3dMDbody System

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.

3dMD Customer Research, Biometric Security, Human Factors | Anthropometric, Psychology, 3dMDface, Anthropometric, Facial Recognition, 3dMDface System

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.

3dMD Customer Research, Genetics, Human Factors | Anthropometric, Medical, 3dMDface, Anthropometric, Craniofacial/Cleft, Plastics, 3dMDface System

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.

3dMD Customer Research, Biometric Security, Computer Science | Computer Vision, Human Factors | Anthropometric, 3dMDface, Anthropometric, Facial Recognition, Morphometrics, 3dMDface System

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…

Exploratory genotype–phenotype correlations of facial form and asymmetry in unaffected relatives of children with non-syndromic cleft lip and/or palate. SF Miller, SM Weinberg, NL Nidey, DK Defay, ML Marazita, GL Wehby, LM Moreno Uribe.

3dMD Customer Research, Computer Science | Computer Vision, Dental, Genetics, Human Factors | Anthropometric, Medical, 3dMDface, Anthropometric, Morphometrics, Craniofacial/Cleft, Oral and Maxillofacial, Orthodontics, Plastics, 3dMDface System

Date: June 2014 Source: Journal of Anatomy, Volume 224, Issue 6, pp 688-709. Abstract: Family relatives of children with nonsyndromic cleft lip with or without cleft palate (NSCL/P) who presumably carry a genetic risk yet do not manifest overt oral clefts, often present with distinct facial morphology of unknown genetic etiology. This study investigates distinct…