Rafael Henrique Vareto; Samira Santos da Silva; Filipe Oliveira de Costa; William Robson Schwartz Towards Open-Set Face Recognition using Hashing Functions Inproceedings Em: International Joint Conference on Biometrics (IJCB), pp. 1-8, 2017. @inproceedings{Vareto:2017:IJCB,
title = {Towards Open-Set Face Recognition using Hashing Functions},
author = {Rafael Henrique Vareto and Samira Santos da Silva and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_IJCB.pdf
http://lena.dcc.ufmg.br/wordpress/towards-open-set-face-recognition-using-hashing-functions/},
year = {2017},
date = {2017-01-01},
booktitle = {International Joint Conference on Biometrics (IJCB)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rafael Henrique Vareto; Samira Santos da Silva; Filipe Oliveira de Costa; William Robson Schwartz Face Verification based on Relational Disparity Features and Partial Least Squares Models Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2017. @inproceedings{Vareto:2017:SIBGRAPI,
title = {Face Verification based on Relational Disparity Features and Partial Least Squares Models},
author = {Rafael Henrique Vareto and Samira Santos da Silva and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2017_SIBGRAPI_Vareto.pdf
http://lena.dcc.ufmg.br/wordpress/face-verification-based-relational-disparity-features-partial-least-squares-models/},
year = {2017},
date = {2017-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rafael Henrique Vareto; Filipe Oliveira de Costa; William Robson Schwartz Face Identification in Large Galleries Inproceedings Em: Workshop on Face Processing Applications, pp. 1-4, 2016. @inproceedings{Vareto:2016:WFPA,
title = {Face Identification in Large Galleries},
author = {Rafael Henrique Vareto and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_WFPA.pdf},
year = {2016},
date = {2016-10-02},
booktitle = {Workshop on Face Processing Applications},
pages = {1-4},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cassio Elias Santos dos Junior; Ewa Kijak; Guillaume Gravier; William Robson Schwartz Partial least squares for face hashing Journal Article Em: Neurocomputing, 213 , pp. 34–47, 2016. @article{Santos:2016:Neurocomputing,
title = {Partial least squares for face hashing},
author = {Cassio Elias Santos dos Junior and Ewa Kijak and Guillaume Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_Neurocomputing_Santos.pdf},
year = {2016},
date = {2016-02-03},
journal = {Neurocomputing},
volume = {213},
pages = {34--47},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Cassio Elias Santos dos Junior Partial Least Squares for Face Hashing Masters Thesis Federal University of Minas Gerais, 2015. @mastersthesis{Santos:2015:MSc,
title = {Partial Least Squares for Face Hashing},
author = {Cassio Elias Santos dos Junior},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/dissertation_2015_Cassio.pdf},
year = {2015},
date = {2015-08-24},
school = {Federal University of Minas Gerais},
abstract = {Face identification is an important research topic due to areas such as its application to surveillance, forensics and human-computer interaction. In the past few years, a myriad of methods for face identification has been proposed in the literature, with just a few among them focusing on scalability. In this work, we propose a simple but efficient approach for scalable face identification based on partial least squares (PLS) and random independent hash functions inspired by locality-sensitive hashing (LSH), resulting in the PLS for hashing (PLSH) approach. The original PLSH approach is further extended using feature selection to reduce the computational cost to evaluate the PLS-based hash functions, resulting in the state-of-the-art extended PLSH approach (ePLSH). The proposed approach is evaluated in the dataset FERET and in the dataset FRGCv1. The results show significant reduction in the number of subjects evaluated in the face identification (reduced to 0.3% of the gallery), providing averaged speedups up to 233 times compared to evaluating all subjects in the face gallery and 58 times compared to previous works in the literature.},
keywords = {},
pubstate = {published},
tppubtype = {mastersthesis}
}
Face identification is an important research topic due to areas such as its application to surveillance, forensics and human-computer interaction. In the past few years, a myriad of methods for face identification has been proposed in the literature, with just a few among them focusing on scalability. In this work, we propose a simple but efficient approach for scalable face identification based on partial least squares (PLS) and random independent hash functions inspired by locality-sensitive hashing (LSH), resulting in the PLS for hashing (PLSH) approach. The original PLSH approach is further extended using feature selection to reduce the computational cost to evaluate the PLS-based hash functions, resulting in the state-of-the-art extended PLSH approach (ePLSH). The proposed approach is evaluated in the dataset FERET and in the dataset FRGCv1. The results show significant reduction in the number of subjects evaluated in the face identification (reduced to 0.3% of the gallery), providing averaged speedups up to 233 times compared to evaluating all subjects in the face gallery and 58 times compared to previous works in the literature. |
Cassio Elias Santos dos Junior; E Kijak; G Gravier; William Robson Schwartz Learning to Hash Faces Using Large Feature Vectors Inproceedings Em: Content-Based Multimedia Indexing (CBMI), 13th International Workshop on, pp. 1–6, IEEE, 2015. @inproceedings{santos2015learning,
title = {Learning to Hash Faces Using Large Feature Vectors},
author = {Cassio Elias Santos dos Junior and E Kijak and G Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2015-Learning_to_Hash_Faces_Using_Large_Feature_Vectors.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Content-Based Multimedia Indexing (CBMI), 13th International Workshop on},
pages = {1--6},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Shuowen Hu; Jonghyun Choi; Alex L Chan; William Robson Schwartz Thermal-to-visible Face Recognition using Partial Least Squares Journal Article Em: Journal of the Optical Society of America A, 32 (3), pp. 431–442, 2015. @article{Hu:2015:JOSAA,
title = {Thermal-to-visible Face Recognition using Partial Least Squares},
author = {Shuowen Hu and Jonghyun Choi and Alex L Chan and William Robson Schwartz},
url = {http://dx.doi.org/10.1364/JOSAA.32.000431},
year = {2015},
date = {2015-01-01},
journal = {Journal of the Optical Society of America A},
volume = {32},
number = {3},
pages = {431--442},
publisher = {OSA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Gerson Paulo de Carlos; Helio Pedrini; William Robson Schwartz Classification schemes based on Partial Least Squares for face identification Journal Article Em: Journal of Visual Communication and Image Representation, 32 , pp. 170 - 179, 2015, ISSN: 1047-3203. @article{2015:JVCI:Carlos,
title = {Classification schemes based on Partial Least Squares for face identification},
author = {Gerson Paulo de Carlos and Helio Pedrini and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2015_JVCI.pdf},
issn = {1047-3203},
year = {2015},
date = {2015-01-01},
journal = {Journal of Visual Communication and Image Representation},
volume = {32},
pages = {170 - 179},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Cassio Elias Santos dos Junior; Guillaume Gravier; William Robson Schwartz SSIG and IRISA at Multimodal Person Discovery Inproceedings Em: Working Notes Proceedings of the MediaEval 2015 Workshop, 2015. @inproceedings{Santos:2015:MediaEval,
title = {SSIG and IRISA at Multimodal Person Discovery},
author = {Cassio Elias Santos dos Junior and Guillaume Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2015_MediaEval.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Working Notes Proceedings of the MediaEval 2015 Workshop},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cassio Elias Santos dos Junior; William Robson Schwartz Extending Face Identification to Open-Set Face Recognition Inproceedings Em: Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 1-8, 2014. @inproceedings{sibgrapi2014extending,
title = {Extending Face Identification to Open-Set Face Recognition},
author = {Cassio Elias Santos dos Junior and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2014-Extending-Face-Identification-to-Open-Set-Face-Recognition.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
G P Carlos; H Pedrini; William Robson Schwartz Fast and Scalable Enrollment for Face Identification based on Partial Least Squares Inproceedings Em: IEEE International Conference on Automatic Face and Gesture Recognition, 2013. @inproceedings{Carlos:2013:FG,
title = {Fast and Scalable Enrollment for Face Identification based on Partial Least Squares},
author = {G P Carlos and H Pedrini and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2013_FG.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {IEEE International Conference on Automatic Face and Gesture Recognition},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Giovani Chiachia; Nicolas Pinto; William Robson Schwartz; Anderson Rocha; Alexandre X Falc~ao; David D Cox Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification. Inproceedings Em: BMVC, pp. 1–12, 2012. @inproceedings{chiachia2012person,
title = {Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification.},
author = {Giovani Chiachia and Nicolas Pinto and William Robson Schwartz and Anderson Rocha and Alexandre X Falc~ao and David D Cox},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2012-Person-Specific-Subspace-Analysis-for-Unconstrained-Familiar-Face-Identification..pdf},
year = {2012},
date = {2012-01-01},
booktitle = {BMVC},
pages = {1--12},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
William Robson Schwartz; Huimin Guo; Jonghyun Choi; Larry S Davis Face identification using large feature sets Journal Article Em: Image Processing, IEEE Transactions on, 21 (4), pp. 2245–2255, 2012. @article{schwartz2012face,
title = {Face identification using large feature sets},
author = {William Robson Schwartz and Huimin Guo and Jonghyun Choi and Larry S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2012-Face-identification-using-large-feature-sets.pdf},
year = {2012},
date = {2012-01-01},
journal = {Image Processing, IEEE Transactions on},
volume = {21},
number = {4},
pages = {2245--2255},
publisher = {IEEE url = https://googledrive.com/host/0B53xd8WZN11YeTRvemlqYkJNd0E/paper_2011_TIP.pdf},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
J Choi; H Guo; William Robson Schwartz; L S Davis A Complementary Local Feature Descriptor for Face Identification Inproceedings Em: IEEE Workshop on Applications of Computer Vision, pp. 121-128, 2012. @inproceedings{Choi:2012:WACV,
title = {A Complementary Local Feature Descriptor for Face Identification},
author = {J Choi and H Guo and William Robson Schwartz and L S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2012-A-Complementary-Local-Feature-Descriptor-for-Face-Identification.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {IEEE Workshop on Applications of Computer Vision},
pages = {121-128},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
H Guo; William Robson Schwartz; L S Davis Face Verification using Large Feature Sets and One Shot Similarity Inproceedings Em: International Joint Conference on Biometrics, 2011. @inproceedings{Guo:2011:IJCB,
title = {Face Verification using Large Feature Sets and One Shot Similarity},
author = {H Guo and William Robson Schwartz and L S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2011-Face-Verification-using-Large-Feature-Sets-and-One-Shot-Similarity.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {International Joint Conference on Biometrics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
William Robson Schwartz; H Guo; L S Davis A Robust and Scalable Approach to Face Identification Inproceedings Em: European Conference on Computer Vision, pp. 476-489, 2010. @inproceedings{Schwartz:2010:ECCV,
title = {A Robust and Scalable Approach to Face Identification},
author = {William Robson Schwartz and H Guo and L S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2010-A-Robust-and-Scalable-Approach-to-Face-Identification.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {European Conference on Computer Vision},
volume = {6316},
pages = {476-489},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
