Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ramzi Abiantun"'
SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions
Publikováno v:
Pattern Recognition. 90:308-324
Automatic face recognition in the wild still suffers from low-quality, low resolution, noisy, and occluded input images that can severely impact identification accuracy. In this paper, we present a novel technique to enhance the quality of such extre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a33506084cd5bb4913a8d21faa2c9a85
https://doi.org/10.1016/j.patcog.2019.01.032
https://doi.org/10.1016/j.patcog.2019.01.032
Publikováno v:
Face Recognition
In the always expanding field of biometrics the choice of which biometric modality or modalities to use, is a difficult one. While a particular biometric modality might offer superior discriminative properties (or be more stable over a longer period
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97b92f7dfc21cacffdedc29b4418f8d
http://www.intechopen.com/articles/show/title/frequency_domain_face_recognition
http://www.intechopen.com/articles/show/title/frequency_domain_face_recognition
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 36(10)
Automatic face recognition performance has been steadily improving over years of research, however it remains significantly affected by a number of factors such as illumination, pose, expression, resolution and other factors that can impact matching
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e54001a40f855c8e669e0249df4bfa6
https://pubmed.ncbi.nlm.nih.gov/26352635
https://pubmed.ncbi.nlm.nih.gov/26352635
Publikováno v:
WACV
Traditional approaches to face recognition have utilized aligned facial images containing both shape and texture information. This paper analyzes the contributions of the individual facial shape and texture components to face recognition. These two c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bafd9cf35a41de59e475410f6a83f982
https://doi.org/10.1109/wacv.2011.5711505
https://doi.org/10.1109/wacv.2011.5711505
Autor:
Miriam Cha, Juefei Xu, Ramzi Abiantun, Shreyas Venugopalan, Joseph L. Heyman, Marios Savvides
Publikováno v:
BTAS
In this paper, we perform a detailed investigation of various features that can be extracted from the periocular region of human faces for biometric identification. The emphasis of this study is to explore the BEST feature extraction approach used in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c212a62a6d3cb75ec9de3dbf1756674f
https://doi.org/10.1109/btas.2010.5634504
https://doi.org/10.1109/btas.2010.5634504
Autor:
Marios Savvides, Ramzi Abiantun
Publikováno v:
2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.
In this paper, we briefly review AdaBoost and expand on the Discrete version by building weak classifiers from a pair of biased classifiers which enable the weak classifier to abstain from classifying some samples. We show that this approach turns in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724014ba7699138428f191b64534700b
https://doi.org/10.1109/btas.2009.5339038
https://doi.org/10.1109/btas.2009.5339038
Autor:
Ramzi Abiantun, Marios Savvides
Publikováno v:
AIPR
In this paper, we present novel approaches of automatically detecting human faces in images which is extremely important for any face recognition system. This paper expands on the traditional Viola-Jones approach by proposing to boost a plethora of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45112e37ad83f234865e21d9b0b37746
https://doi.org/10.1109/aipr.2008.4906436
https://doi.org/10.1109/aipr.2008.4906436
Autor:
Ramzi Abiantun, Marios Savvides
Publikováno v:
AIPR
In this paper, we present different pattern recognition approaches for automatically detecting tear ducts in iris acquired eye images for enhancing iris recognition and detecting mislabeling in datasets. Detecting the tear duct in an image will tell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::939647cf378dc49712e487aad5e75780
https://doi.org/10.1109/aipr.2008.4906437
https://doi.org/10.1109/aipr.2008.4906437
Publikováno v:
SPIE Proceedings.
In this paper we demonstrate the subspace generalization power of the kernel correlation feature analysis (KCFA) method for extracting a low dimensional subspace that has the ability to represent new unseen datasets. Examining the portability of this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ee94c5fd2de4a252a20ee71742c1eca
https://doi.org/10.1117/12.720975
https://doi.org/10.1117/12.720975
Publikováno v:
AutoID
In this paper we present a fully automated mobile camera device platform that will automatically adjust to the eye-levels of the persons in front or approaching the system. This system serves as a front-end to aid the face recognition and iris recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e60d369467ce566f1517f6ceee4e912
https://doi.org/10.1109/autoid.2005.15
https://doi.org/10.1109/autoid.2005.15