Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Charles Otto"'
Publikováno v:
IEEE Transactions on Information Forensics and Security. 13:1626-1640
Clustering face images according to their identity has two important applications: (i) grouping a collection of face images when no external labels are associated with images, and (ii) indexing for efficient large scale face retrieval. The clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9698395238001eecfa211671f3660f8a
https://doi.org/10.1109/tifs.2018.2796999
https://doi.org/10.1109/tifs.2018.2796999
Publikováno v:
BTAS
Face recognition performance degrades when images are captured in difficult environments and non-ideal imaging conditions, for example in surveillance video. Heterogenous face recognition applications that require matching of images across varying di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f866c057d9f5a6575738c4cbbc6daedc
https://doi.org/10.1109/btas46853.2019.9186007
https://doi.org/10.1109/btas46853.2019.9186007
Publikováno v:
ICB
Currently, face recognition systems perform at or above human-levels on media captured under controlled conditions. However, confounding factors such as pose, illumination, and expression (PIE), as well as facial hair, gender, skin tone, age, and res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49d01fca17ac8d1f8194b5be85fc16f
https://doi.org/10.1109/icb45273.2019.8987419
https://doi.org/10.1109/icb45273.2019.8987419
Autor:
Sudarshan Nagesh, Wenhan Yang, Junru Wu, Michael Albright, Zhangyang Wang, Wen-Chi Chin, Sreya Banerjee, Xiaoshuai Zhang, Mahmoud Lababidi, Rosaura G. VidalMata, Yi-Chun Li, Brandon RichardWebster, Sushobhan Ghosh, Scott McCloskey, Jiaying Liu, Asong Tambo, Hwann-Tzong Chen, Pedro Davalos, Ben Miller, Walter J. Scheirer, Tzu-Wei Huang, Ye Yuan, Yueyu Hu, Charles Otto
What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algorithms as a pre-processing step to improve image interpretability for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15ed18e76593d78ffc1c402911c60fa0
Autor:
James A. Duncan, Jocelyn Adams, Janet Anderson, Charles Otto, Anil K. Jain, Patrick J. Grother, Brianna Maze, Nathan D. Kalka, Jordan Cheney, Tim Miller, W. Tyler Niggel
Publikováno v:
ICB
Although considerable work has been done in recent years to drive the state of the art in facial recognition towards operation on fully unconstrained imagery, research has always been restricted by a lack of datasets in the public domain. In addition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55ca308f42cd17435c6cbe12e33a1a73
https://doi.org/10.1109/icb2018.2018.00033
https://doi.org/10.1109/icb2018.2018.00033
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 37:1148-1161
Demographic estimation entails automatic estimation of age, gender and race of a person from his face image, which has many potential applications ranging from forensics to social media. Automatic demographic estimation, particularly age estimation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1974b70aa3b630c5396b23a07451c9a
https://doi.org/10.1109/tpami.2014.2362759
https://doi.org/10.1109/tpami.2014.2362759
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:760-770
In this paper, we present a real-time automatic vision-based rail inspection system, which performs inspections at 16 km/h with a frame rate of 20 fps. The system robustly detects important rail components such as ties, tie plates, and anchors, with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38c9d7e6b5bcd6d558f3ae20ef142776
https://doi.org/10.1109/tits.2013.2287155
https://doi.org/10.1109/tits.2013.2287155
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 39(6)
Given the prevalence of social media websites, one challenge facing computer vision researchers is to devise methods to search for persons of interest among the billions of shared photos on these websites. Despite significant progress in face recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee65d9d98f5ce0aa07cc3a51602a797f
https://pubmed.ncbi.nlm.nih.gov/27333599
https://pubmed.ncbi.nlm.nih.gov/27333599
In this work, we attempt to address the following problem: Given a large number of unlabeled face images, cluster them into the individual identities present in this data. We consider this a relevant problem in different application scenarios ranging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c820df17ec15bf82956f5065de1a457d
Publikováno v:
ICB
Investigations that require the exploitation of large volumes of face imagery are increasingly common in current forensic scenarios (e.g., Boston Marathon bombing), but effective solutions for triaging such imagery (i.e., low importance, moderate imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1bf07e32cc4779b7fadbd3dbad7e7e8
https://doi.org/10.1109/icb.2015.7139091
https://doi.org/10.1109/icb.2015.7139091