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Toward Open-Set Face Recognition [article]

Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
2017 arXiv   pre-print
In this paper, we address the widespread misconception that thresholding verification-like scores is a good way to solve the open-set face identification problem, by formulating an open-set face identification  ...  Our open-set identification protocol is based on the canonical labeled faces in the wild (LFW) dataset.  ...  Open-Set Face Recognition Protocol Open-set face recognition has not been studied, in part due to the dearth of open-set evaluation protocols for face databases.  ... 
arXiv:1705.01567v2 fatcat:gchycybzbjgqrkdwvymow6p3aa

Toward Open-Set Face Recognition

Manuel Gunther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
In this paper, we address the widespread misconception that thresholding verification-like scores is a good way to solve the open-set face identification problem, by formulating an open-set face identification  ...  Our open-set identification protocol is based on the canonical labeled faces in the wild (LFW) dataset.  ...  Open-Set Face Recognition Protocol Open-set face recognition has not been studied, in part due to the dearth of open-set evaluation protocols for face databases.  ... 
doi:10.1109/cvprw.2017.85 dblp:conf/cvpr/GuntherCRB17 fatcat:2eg4bunc6zd25hrwkb5vdi5fmy

Towards Open-Set Identity Preserving Face Synthesis

Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
preserving face synthesis in open domains.  ...  We also present its usage in a much broader set of applications including face frontalization, face attribute morphing, and face adversarial example detection.  ...  In view of the limitation of CVAE-GAN, we attempt to solve the problem of open-set identity preserving face synthesis.  ... 
doi:10.1109/cvpr.2018.00702 dblp:conf/cvpr/Bao0WLH18 fatcat:mktfzq3vujaynkofma7iccbsha

Impact of eye detection error on face recognition performance

Abhishek Dutta, Manuel Günther, Sébastien Marcel, Laurent El Shafey, Luuk Spreeuwers, Raymond Veldhuis
2015 IET Biometrics  
These experiments provide an insight into the influence of eye localization errors on the performance of face recognition systems and recommend a strategy for designing training a test set of a face recognition  ...  In this paper, we study the sensitivity of open source implementations of five face recognition algorithms to misalignment caused by eye localization errors.  ...  We reveal the sensitivity of five open source face recognition systems towards eye localization errors causing various types of misalignment as translation, rotation and scaling of the face.  ... 
doi:10.1049/iet-bmt.2014.0037 fatcat:q5ri6zmrnve5zn4nomoacmhp2m

Watch List Face Surveillance Using Transductive Inference [chapter]

Fayin Li, Harry Wechsler
2004 Lecture Notes in Computer Science  
For face recognition open set corresponds to the watch list face surveillance task, where the face recognition engine must detect or reject the probe.  ...  Towards that end, we introduce the Open Set TCM-kNN algorithm, which is based upon algorithmic randomness and transductive inference.  ...  For face recognition open set corresponds to the watch list face surveillance task, where the face recognition engine must first find out if an individual probe is, or is not, on the watch list.  ... 
doi:10.1007/978-3-540-25948-0_4 fatcat:ny5ixv3grvcp3nqdzi4q6y5ere

Class Monitoring System Tools MTCNN and Haarcascade Classifier

Aditya Vikram Bhattacharya, Mrinalini Khanna, Akshay Tripathi, S Murugaveni
2018 International Journal of Engineering & Technology  
The project aims towards the assistance of teachers at the time of taking attendance. The system solely focuses on face detection and recognition.  ...  The tools used to device the system are API's offered by Python 3.6, Open CV(for detection) and a few cognitive tools provided by Azure.The basic idea behind the project is face recognition linked to a  ...  Introduction The project aims towards the assistance of teachers at the time of taking attendance. The system solely focuses on face detection and recognition.  ... 
doi:10.14419/ijet.v7i3.12.17609 fatcat:xwhblynofnb4tp4ellu7mekdma

Open-set Face Recognition for Small Galleries Using Siamese Networks

Gabriel Salomon, Alceu Britto, Rafael H. Vareto, William R. Schwartz, David Menotti
2020 2020 International Conference on Systems, Signals and Image Processing (IWSSIP)  
The present work introduces a novel approach towards open-set face recognition focusing on small galleries and in enrollment detection, not identity retrieval.  ...  Therefore, open-set face recognition is a subject of increasing interest as it deals with identifying individuals in a space where not all faces are known in advance.  ...  RELATED WORK A face verification-like approach towards open-set recognition is proposed in the current work, using CNN and SNN.  ... 
doi:10.1109/iwssip48289.2020.9145245 dblp:conf/iwssip/0002BVSM20 fatcat:suiphfnomzc33litkcgduxqf2y

Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification [article]

Chris Dulhanty, Alexander Wong
2020 arXiv   pre-print
all major open source face recognition training datasets do not obtain informed consent from individuals during their collection.  ...  In this work, we audit ArcFace, a state-of-the-art, open source face recognition system, in a large-scale face identification experiment with more than one million distractor images.  ...  In open-set face identification, a confidence threshold must be set to reject matches that do not meet a certain level of similarity.  ... 
arXiv:2001.03071v2 fatcat:sceemlshtfcohba6lokf4cv5me

Toward More Realistic Face Recognition Evaluation Protocols for the YouTube Faces Database

Yoanna Martinez-Diaz, Heydi Mendez-Vazquez, Leyanis Lopez-Avila, Leonardo Chang, L. Enrique Sucar, Massimo Tistarelli
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
In this work, we propose new relevant evaluation protocols for the YouTube Faces database (REP-YTF) supporting face verification and open/closed-set identification.  ...  The proposal better fits realistic face recognition scenarios and allows us to test existing algorithms at relevant assessment points, under different openness values and taking both videos and images  ...  face verification and open/closed-set face identification scenarios.  ... 
doi:10.1109/cvprw.2018.00082 dblp:conf/cvpr/Martinez-DiazML18 fatcat:c4anvwotmbgx3hkmmk4qaaiasm

On the Synergies between Online Social Networking, Face Recognition and Interactive Robotics

Nikolaos Mavridis, Wajahat Kazmi, Panos Toulis, Chiraz Ben-Abdelkader
2009 2009 International Conference on Computational Aspects of Social Networks  
in social networks and the "faces appear in the same picture" relation in face recognition.  ...  Our robot is a mobile robot with face recognition, natural language dialogue, as well as mapping capabilities.  ...  This is thus a clear synergy between camera-and Facebook-derived pictures toward face recognition.  ... 
doi:10.1109/cason.2009.28 dblp:conf/cason/MavridisKTB09 fatcat:p7ud54aaojculhliqdxo2r2abm

Liveness Detection with Opencv

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
"real/legitimate" faces and how we could apply anti-face spoofing algorithms into our facial recognition applications by applying live ness detection[1] with Open CV.  ...  Consider what would happen if a nefarious user tried to purposely circumvent your face recognition system. Such a user could try to hold up a photo of another person.  ...  How could we apply anti-face spoofing algorithms into your facial recognition applications? [5] The answer is to apply liveness detection with Open CV.  ... 
doi:10.35940/ijitee.i3116.0789s319 fatcat:4l3go6k7tvcljfvj7pec6hcpcu

Emotion Recognition to Find Attention Level of Student During Class

Awanit Kumar
2019 International Journal for Research in Applied Science and Engineering Technology  
With the same technology in this research, I have developed a system for recognition & expression reading with the help of deep learning to recognise the students and find their attention level using the  ...  Two core tactics inform how solutions can be designed for emotion recognition are: 1) Categorical: All emotions fall into set classes. There are a finite set of human's emotions.  ...  Today's world is moving toward AI and Machine learning with its different applications like computer vision, pattern recognition, prediction, etc.  ... 
doi:10.22214/ijraset.2019.6196 fatcat:h64fe7qm7neuhga7vcolr75onm

Open World Face Recognition with Credibility and Confidence Measures [chapter]

Fayin Li, Harry Wechsler
2003 Lecture Notes in Computer Science  
This paper describes a novel framework for the Open World face recognition problem, where one has to provide for the Reject option.  ...  Based upon algorithmic randomness and transduction, a particular form of induction, we describe the TCM-kNN (Transduction Confidence Machine -kNearest Neighbor) algorithm for Open World face recognition  ...  Conclusions We introduced in this paper a new face recognition algorithm suitable for open world face recognition.  ... 
doi:10.1007/3-540-44887-x_55 fatcat:oeagrncctbbs5pby4ckxklvlh4

Workshop on Interactive and Adaptive Learning in an Open World [chapter]

Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrence Boult, Juergen Gall, Walter Scheirer, Angela Yao, Erik Rodner
2019 Lecture Notes in Computer Science  
Next generation machine learning requires stepping away from classical batch learning towards interactive and adaptive learning.  ...  Faces inside these images are of various poses, and varied levels of blurriness and occlusion. The challenge comes with a closed set recognition problem as well as an open set recognition problem.  ...  et al Open Set Learning with Counterfactual Images Gnther et al Open-Set Recognition Challenge Busto et al Open Set Domain Adaptation for Image and Action Recognition Dwivedi and Roig Evaluation of plug  ... 
doi:10.1007/978-3-030-11024-6_38 fatcat:2wqabhsxhrc4tdgvnjim72xb6q

Protocol for Systematic Literature Review of Face Recognition in Uncontrolled Environment

Faizan Ullah, Sabir Shah, Dilawar Shah, Abdul Salam, Shujaat Ali
2018 EAI Endorsed Transactions on Scalable Information Systems  
However, several issues in face recognition across pose still remain open, such as lack of understanding about subspaces of pose variant images, problem intractability in 3D face modelling, complex face  ...  Extensive efforts have been put into the research toward pose-invariant face recognition in recent years and many prominent approaches have been proposed.  ...  There are two types of face recognition: closed set and open set. In closed-set recognition, we can definitely find a gallery face matching the input image.  ... 
doi:10.4108/eai.13-4-2018.154477 fatcat:4xhd2z4fhnfavffgtbn5amyaem
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