Results 31 to 40 of about 117,201 (301)

Facial Recognition in Historical Photographs with Artificial Intelligence in Python

The Programming Historian
In this lesson, you’ll learn computer vision and machine learning principles for object recognition, and how to apply these principles using Python to recognize and classify smiling faces in historical photographs.
Charles Goldberg, Zach Haala
doaj   +1 more source

Facial Recognition 1990

Cortex, 1990
A review of recent studies of prosopagnosia suggests that the weight of evidence has shifted in favor of regarding it as a disability that can be produced by a right hemisphere lesion alone even though bilateral disease remains the more frequent anatomical basis.
openaire   +2 more sources

A motivational determinant of facial emotion recognition: regulatory focus affects recognition of emotions in faces.

PLoS ONE, 2014
Two studies examined an unexplored motivational determinant of facial emotion recognition: observer regulatory focus. It was predicted that a promotion focus would enhance facial emotion recognition relative to a prevention focus because the attentional ...
Claudia Sassenrath, Kai Sassenberg, Devin G Ray, Katharina Scheiter, Halszka Jarodzka   +4 more
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Efficient recognition of facial expressions does not require motor simulation

eLife, 2020
What mechanisms underlie facial expression recognition? A popular hypothesis holds that efficient facial expression recognition cannot be achieved by visual analysis alone but additionally requires a mechanism of motor simulation — an unconscious, covert
Gilles Vannuscorps, Michael Andres, Alfonso Caramazza   +2 more
doaj   +1 more source

An expression recognition algorithm based on convolution neural network and RGB-D Images

MATEC Web of Conferences, 2018
Aiming at the problem of recognition effect is not stable when 2D facial expression recognition in the complex illumination and posture changes. A facial expression recognition algorithm based on RGB-D dynamic sequence analysis is proposed. The algorithm
binghua HE, zengzhao CHEN, gaoyang LI, lang JIANG, zhao ZHANG, chunlin DENG   +5 more
doaj   +1 more source

Automatic emotional state detection using facial expression dynamic in videos [PDF]

, 2014
In this paper, an automatic emotion detection system is built for a computer or machine to detect the emotional state from facial expressions in human computer communication.
Huang, D, Di Huang, Meng, H, Hongying Meng   +3 more
core   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

A multimodal approach to emotion recognition ability in autism spectrum disorders [PDF]

, 2010
Background:  Autism spectrum disorders (ASD) are characterised by social and communication difficulties in day‐to‐day life, including problems in recognising emotions.
Tregay, Jeni, Charman, Tony; id_orcid, Jones, Catherine RG, Rebecca J. Phillips, Catherine R.G. Jones, Sauter, Disa, Charman, Tony, Scott, SK, Happé, Francesca, Jones, Catherine, Simonoff, Emily; id_orcid, Pickles, A, Marsden, Anita J.S., Phillips, Rebecca J., Happé, F., Sauter, D.; id_orcid, Salter, Disa, Scott, S.K., Marsden, Anita, Emily Simonoff, Andrew Pickles, Marsden, A.J.S., Happe, F, Simonoff, Emily, Phillips, R.J., Pickles, A., Phillips, Rebecca J, Jones, CRG, Tregay, J, Jones, Catherine R.G., Falcaro, M., Falcaro, M, Baird, Gillian, Milena Falcaro, Scott, Sophie K, Tregay, Jenifer, Falcaro, Milena, Scott, Sophie, Marsden, Anita JS, Jones, C., Marsden, A., Baird, G., Phillips, R., Jones, C.R.G., Marsden, Anita J. S., Marsden, AJS, Charman, T, Baird, G, Tregay, J., Jones, Catherine R. G., Sophie K. Scott, Disa Sauter, Scott, Sophie K., Charman, T., Sauter, D, Anita J.S. Marsden, Tony Charman, Scott, S., Pickles, Andrew, Phillips, Rebecca, Francesca Happé, Sauter, D., Jenifer Tregay, Gillian Baird, Simonoff, E, Phillips, RJ, Simonoff, E.   +66 more
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Reversible Facial Privacy Protection Method Based on “Invisible Masks” [PDF]

Jisuanji kexue
With the rapid progress of artificial intelligence and computer vision technology,facial information has been widely used in smart security,financial payment,and social media,etc.Once the collected facial information is leaked or illegally sold by ...
ZHENG Xu, HUANG Xiangjie, YANG Yang
doaj   +1 more source

Facial Expression Recognition: A Survey [PDF]

Symmetry, 2019
Facial Expression Recognition (FER), as the primary processing method for non-verbal intentions, is an important and promising field of computer vision and artificial intelligence, and one of the subject areas of symmetry. This survey is a comprehensive and structured overview of recent advances in FER. We first categorise the existing FER methods into
Yunxin Huang, Fei Chen, Shaohe Lv, Xiaodong Wang 0002   +3 more
openaire   +1 more source