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Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
[article]
2020
arXiv
pre-print
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The development of biometric recognition solutions able to work in visual surveillance conditions, i.e., in unconstrained data acquisition conditions and under covert protocols has been motivating growing ...
among the most active in pursuing disruptive solutions for obtaining such extremely ambitious kind of automata. ...
SEGMENTATION WORKS a) Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition based on Hierarchical MRFs[59]: Markov Random Fields (MRFs) are a popular tool in many computer ...
arXiv:2001.09703v2
fatcat:hugkig4wxvgaldscwbobn6yhuy
An Intelligent Hair and Scalp Analysis System Using Camera Sensors and Norwood-Hamilton Model
2018
International Journal of Innovative Computing, Information and Control
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Baldness or hair loss has caused significant problems for people on social occasions and even affected their health. Therefore, hair and scalp care are taken more seriously by people. ...
Hair care or scalp detection can be realized in a professional hair care shop or medical and cosmetic clinic, but it is very expensive. ...
This research is financially supported by the Ministry of Science and Technology of Taiwan (under grants No. 1042221-E-006-119-MY3 and No. 104-3115-E-194-001). ...
doi:10.24507/ijicic.14.02.503
fatcat:snnt76wazfbuhfhgxuzdeogglm
Contextual Person Identification in Multimedia Data
2014
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Further, we integrate additional modalities in a global fusion framework. We evaluate our approaches on a novel TV series data set, consisting of over 100 000 annotated faces. ...
We propose methods to improve automatic person identification, regardless of the visibility of a face, by integration of multiple cues including multiple modalities and contextual information. ...
Buffy and Xander get assigned most tracks from other characters. Also, most of the other main characters are assigned at least one Buffy track. ...
doi:10.5445/ir/1000047232
fatcat:qavvuxdserdptiyoolozru2qai
Towards Object Detection in the Real World
2022
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Object detection serves as a crucial step for many downstream vision tasks such as action recognition, face analysis, instance segmentation, object re-identification, retail scene understanding, etc. ...
For the appearance variation, we study the effect of the context information on the detection of the human face, one of the most common objects. ...
Multi-Resolution Faster-RCNN Our solution for this problem is a combination of both global and local features, i.e. multiple resolutions. ...
doi:10.1184/r1/19741924.v1
fatcat:4cel2ywr7vet5bwx5r3tr47k4e