Relevant bibliographies by topics / Unconstrained face recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Unconstrained face recognition'

Author: Grafiati
Published: 4 May 2024
Last updated: 19 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Unconstrained face recognition.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Unconstrained face recognition"

1

Deng, Weihong, Jiani Hu, Zhongjun Wu, and Jun Guo. "Lighting-aware face frontalization for unconstrained face recognition." Pattern Recognition 68 (August 2017): 260–71. http://dx.doi.org/10.1016/j.patcog.2017.03.024.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Masi, Iacopo, Anh Tuấn Trần, Tal Hassner, Gozde Sahin, and Gérard Medioni. "Face-Specific Data Augmentation for Unconstrained Face Recognition." International Journal of Computer Vision 127, no. 6-7 (2019): 642–67. http://dx.doi.org/10.1007/s11263-019-01178-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tyagi, Ranbeer, Geetam Singh Tomar, and Laxmi Shrivastava. "Unconstrained Face Recognition Quality: A Review." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 11 (2016): 199–210. http://dx.doi.org/10.14257/ijsip.2016.9.11.18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Vinay, A., Abhijay Gupta, Aprameya Bharadwaj, Arvind Srinivasan, K. N. Balasubramanya Murthy, and S. Natarajan. "Unconstrained Face Recognition using Bayesian Classification." Procedia Computer Science 143 (2018): 519–27. http://dx.doi.org/10.1016/j.procs.2018.10.425.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rifaee, Mustafa, Mohammad Al Rawajbeh, Basem AlOkosh, and Farhan AbdelFattah. "A New approach to Recognize Human Face Under Unconstrained Environment." International Journal of Advances in Soft Computing and its Applications 14, no. 2 (2022): 2–13. http://dx.doi.org/10.15849/ijasca.220720.01.

Full text
Abstract:
Human face is considered as one of the most useful traits in biometrics, and it has been widely used in education, security, military and many other applications. However, in most of currently deployed face recognition systems ideal imaging conditions are assumed; to capture a fully featured images with enough quality to perform the recognition process. As the unmasked face will have a considerable impact on the numbers of new infections in the era of COVID-19 pandemic, a new unconstrained partial facial recognition method must be developed. In this research we proposed a mask detection method
APA, Harvard, Vancouver, ISO, and other styles
6

Yu, Aihua, Gang Li, Beiping Hou, Hongan Wang, and Gaoya Zhou. "A novel framework for face recognition using robust local representation–based classification." International Journal of Distributed Sensor Networks 15, no. 3 (2019): 155014771983608. http://dx.doi.org/10.1177/1550147719836082.

Full text
Abstract:
Face recognition via representation-based classification is a trending technique in the recent years. However, the recognition performance of the systems using such a technique degrades in an unconstrained environment. In this article, a novel framework is proposed for representation-based face recognition. To deal with the unconstrained environment, a pre-process is used to frontalize face images, and aligned downsampling local binary pattern features of the frontalized images are used for classification. A dimension reduction is then adopted in order to reduce the computation complexity via
APA, Harvard, Vancouver, ISO, and other styles
7

TORBATI, Ali, and Önsen TOYGAR. "MASKED AND UNMASKED FACE RECOGNITION ON UNCONSTRAINED FACIAL IMAGES USING HAND-CRAFTED METHODS." Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 26, Özel Sayı (2023): 1133–39. http://dx.doi.org/10.17780/ksujes.1339868.

Full text
Abstract:
In this study, the face recognition task is applied on masked and unmasked faces using hand-crafted methods. Due to COVID-19 and masks, facial identification from unconstrained images became a hot topic. To avoid COVID-19, most people use masks outside. In many cases, typical facial recognition technology is useless. The majority of contemporary advanced face recognition methods are based on deep learning, which primarily relies on a huge number of training examples, however, masked face recognition may be investigated using hand-crafted approaches at a lower computing cost than using deep lea
APA, Harvard, Vancouver, ISO, and other styles
8

Ruan, Shuai, Chaowei Tang, Xu Zhou, et al. "Multi-Pose Face Recognition Based on Deep Learning in Unconstrained Scene." Applied Sciences 10, no. 13 (2020): 4669. http://dx.doi.org/10.3390/app10134669.

Full text
Abstract:
At present, deep learning drives the rapid development of face recognition. However, in the unconstrained scenario, the change of facial posture has a great impact on face recognition. Moreover, the current model still has some shortcomings in accuracy and robustness. The existing research has formulated two methods to solve the above problems. One method is to model and train each pose separately. Then, a fusion decision will be made. The other method is to make “frontal” faces on the image or feature level and transform them into “frontal” face recognition. Based on the second idea, we propo
APA, Harvard, Vancouver, ISO, and other styles
9

Tong, Ying, Jiachao Zhang, and Rui Chen. "Discriminative Sparsity Graph Embedding for Unconstrained Face Recognition." Electronics 8, no. 5 (2019): 503. http://dx.doi.org/10.3390/electronics8050503.

Full text
Abstract:
In this paper, we propose a new dimensionality reduction method named Discriminative Sparsity Graph Embedding (DSGE) which considers the local structure information and the global distribution information simultaneously. Firstly, we adopt the intra-class compactness constraint to automatically construct the intrinsic adjacent graph, which enhances the reconstruction relationship between the given sample and the non-neighbor samples with the same class. Meanwhile, the inter-class compactness constraint is exploited to construct the penalty adjacent graph, which reduces the reconstruction influe
APA, Harvard, Vancouver, ISO, and other styles
10

Agrawal, Amrit Kumar, and Yogendra Narain Singh. "Unconstrained face recognition using deep convolution neural network." International Journal of Information and Computer Security 12, no. 2/3 (2020): 332. http://dx.doi.org/10.1504/ijics.2020.10026788.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Unconstrained face recognition"

1

Zhou, Shaohua. "Unconstrained face recognition." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1800.

Full text
Abstract:
Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
APA, Harvard, Vancouver, ISO, and other styles
2

Wei, Xingjie. "Unconstrained face recognition with occlusions." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/66778/.

Full text
Abstract:
Face recognition is one of the most active research topics in the interdisciplinary areas of biometrics, pattern recognition, computer vision and machine learning. Nowadays, there has been significant progress on automatic face recognition in controlled conditions. However, the performance in unconstrained conditions is still unsatisfactory. Face recognition systems in real-world environments often have to confront uncontrollable and unpredictable conditions such as large changes in illumination, pose, expression and occlusions, which introduce more intra-class variations and degrade the recog
APA, Harvard, Vancouver, ISO, and other styles
3

Juefei-Xu, Felix. "Unconstrained Periocular Face Recognition: From Reconstructive Dictionary Learning to Generative Deep Learning and Beyond." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1189.

Full text
Abstract:
Many real-world face recognition tasks are under unconstrained conditions such as off-angle pose variations, illumination variations, facial occlusion, facial expression, etc. In this work, we are focusing on the real-world scenarios where only the periocular region of a face is visible such as in the ISIS case. In Part I of the dissertation, we will showcase the face recognition capability based on the periocular region, which we call the periocular face recognition. We will demonstrate that face matching using the periocular region directly is more robust than the full face in terms of age-t
APA, Harvard, Vancouver, ISO, and other styles
4

Lopes, Daniel Pedro Ferreira. "Face verication for an access control system in unconstrained environment." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23395.

Full text
Abstract:
Mestrado em Engenharia Eletrónica e Telecomunicações<br>O reconhecimento facial tem vindo a receber bastante atenção ao longo dos últimos anos não só na comunidade cientifica, como também no ramo comercial. Uma das suas várias aplicações e o seu uso num controlo de acessos onde um indivíduo tem uma ou várias fotos associadas a um documento de identificação (também conhecido como verificação de identidade). Embora atualmente o estado da arte apresente muitos estudos em que tanto apresentam novos algoritmos de reconhecimento como melhorias aos já desenvolvidos, existem mesmo assim muitos p
APA, Harvard, Vancouver, ISO, and other styles
5

Stone, Zachary. "Face Identification in the Internet Era." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10397.

Full text
Abstract:
Despite decades of effort in academia and industry, it is not yet possible to build machines that can replicate many seemingly-basic human perceptual abilities. This work focuses on the problem of face identification that most of us effortlessly solve daily. Substantial progress has been made towards the goal of automatically identifying faces under tightly controlled conditions; however, in the domain of unconstrained face images, many challenges remain. We observe that the recent combination of widespread digital photography, inexpensive digital storage and bandwidth, and online social netwo
APA, Harvard, Vancouver, ISO, and other styles
6

Vu, Ngoc-Son. "Contributions à la reconnaissance de visages à partir d'une seule image et dans un contexte non-contrôlé." Phd thesis, Grenoble INPG, 2010. https://theses.hal.science/tel-00574547v1.

Full text
Abstract:
Bien qu'ayant suscité des recherches depuis 30 ans, le problème de la reconnaissance de visages en contexte de vidéosurveillance, sachant qu'une seule image par individu est disponible pour l'enrôlement, n'est pas encore résolu. Dans ce contexte, les deux défis les plus difficiles à relever consistent à développer des algorithmes robustes aux variations d'illumination et aux variations de pose. De plus, il y a aussi une contrainte forte sur la complexité en temps et en occupation mémoire des algorithmes à mettre en oeuvre dans de tels systèmes. Le travail développé dans cette thèse apporte plu
APA, Harvard, Vancouver, ISO, and other styles
7

Mudunuri, Sivaram Prasad. "Face Recognition in Unconstrained Environment." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/5113.

Full text
Abstract:
The goal of computer vision is to provide the ability to machines to understand image data and infer the useful information from it. The inferences highly depend on the quality of the image data. But in many real-world applications, we encounter poor quality images which have low discriminative power which affects the performance of computer vision algorithms. In particular, in the field of Biometrics, the performance of face recognition systems are significantly affected when the face images have poor resolution and are captured under uncontrolled pose and illumination conditions as in s
APA, Harvard, Vancouver, ISO, and other styles
8

Reigoto, Anabela Machado. "Face Detection and Recognition in Unconstrained Scenarios." Master's thesis, 2019. https://hdl.handle.net/10216/122842.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sanyal, Soubhik. "Discriminative Descriptors for Unconstrained Face and Object Recognition." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4177.

Full text
Abstract:
Face and object recognition is a challenging problem in the field of computer vision. It deals with identifying faces or objects form an image or video. Due to its numerous applications in biometrics, security, multimedia processing, on-line shopping, psychology and neuroscience, automated vehicle parking systems, autonomous driving and machine inspection, it has drawn attention from a lot of researches. Researchers have studied different aspects of this problem. Among them pose robust matching is a very important problem with various applications like recognizing faces and objects in uncontro
APA, Harvard, Vancouver, ISO, and other styles
10

Freitas, Tiago Daniel Santos. "3D Face Recognition Under Unconstrained settings using Low-Cost Sensors." Master's thesis, 2016. https://repositorio-aberto.up.pt/handle/10216/84513.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Unconstrained face recognition"

1

Unconstrained Face Recognition. Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-29486-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chellappa, Rama, Shaohua Kevin Zhou, and Wenyi Zhao. Unconstrained Face Recognition. Springer, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Unconstrained Face Recognition (International Series on Biometrics). Springer, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chellappa, Rama, Shaohua Kevin Zhou, and Wenyi Zhao. Unconstrained Face Recognition (International Series on Biometrics Book 5). Springer, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Unconstrained face recognition"

1

Ouanan, Hamid, Mohammed Ouanan, and Brahim Aksasse. "Myface: Unconstrained Face Recognition." In Lecture Notes in Networks and Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69137-4_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kocjan, Przemysław, and Khalid Saeed. "Face Recognition in Unconstrained Environment." In Biometrics and Kansei Engineering. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5608-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gong, Xun, Jun Luo, and Zehua Fu. "Normalization for Unconstrained Pose-Invariant 3D Face Recognition." In Biometric Recognition. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02961-0_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Liu, Feng, Minchul Kim, Anil Jain, and Xiaoming Liu. "Controllable and Guided Face Synthesis for Unconstrained Face Recognition." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19775-8_41.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wu, Zhongjun, Weihong Deng, and Zhanfu An. "Illumination-Recovered Pose Normalization for Unconstrained Face Recognition." In Computer Vision – ACCV 2016. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54187-7_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tome, Pedro, Ruben Vera-Rodriguez, Julian Fierrez, and Javier Ortega-García. "Variability Compensation Using NAP for Unconstrained Face Recognition." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28765-7_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Moghekar, Rajeshwar, and Sachin Ahuja. "Face Recognition in Unconstrained Environment Using Deep Learning." In Soft Computing for Intelligent Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1048-6_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Martin, Michael, and Thirimachos Bourlai. "Unconstrained Face Recognition Using Cell Phone Devices: Faces in the Wild." In Advanced Sciences and Technologies for Security Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39489-9_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Yan, Yan, Hanzi Wang, Cuihua Li, Chenhui Yang, and Bineng Zhong. "A Novel Unconstrained Correlation Filter and Its Application in Face Recognition." In Intelligent Science and Intelligent Data Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36669-7_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ruiz-del-Solar, Javier, Rodrigo Verschae, Gabriel Hermosilla, and Mauricio Correa. "Thermal Face Recognition in Unconstrained Environments Using Histograms of LBP Features." In Local Binary Patterns: New Variants and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39289-4_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Unconstrained face recognition"

1

Saadabadi, Mohammad Saeed Ebrahimi, Sahar Rahimi Malakshan, Seyed Rasoul Hosseini, and Nasser M. Nasrabadi. "Boosting Unconstrained Face Recognition with Targeted Style Adversary." In 2024 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 2024. http://dx.doi.org/10.1109/ijcb62174.2024.10744533.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kumar, Dipak, Ravi Kant Kumar, Jogendra Garain, Dakshina Ranjan Kisku, Jamuna Kanta Sing, and Phalguni Gupta. "DEM-UFR: Deep Ensemble Method for Enhanced Unconstraint Face Recognition System." In 2024 OITS International Conference on Information Technology (OCIT). IEEE, 2024. https://doi.org/10.1109/ocit65031.2024.00032.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Huang, Gary B., Manjunath Narayana, and Erik Learned-Miller. "Towards unconstrained face recognition." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4562973.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

"Subtasks of Unconstrained Face Recognition." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004694201130121.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Srisawasd, Wipawee, and Sartra Wongthanavasu. "Face Recognition In Unconstrained Environment." In 2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2018. http://dx.doi.org/10.1109/jcsse.2018.8457336.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Saffar, Mohammad Taghi, Banafsheh Rekabdar, Sushil Louis, and Mircea Nicolescu. "Face recognition in unconstrained environments." In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280803.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Dong-Ju Kim, Sang-Heon Lee, Myoung-Kyu Sohn, Byungmin Kim, and Hyunduk Kim. "Face recognition in unconstrained environments." In 2013 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2013. http://dx.doi.org/10.1109/icce.2013.6486832.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Shao, Xiaohu, Junliang Xing, Jiangjing Lv, et al. "Unconstrained Face Alignment Without Face Detection." In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2017. http://dx.doi.org/10.1109/cvprw.2017.258.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Roth, Joseph, Yiying Tong, and Xiaoming Liu. "Unconstrained 3D face reconstruction." In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. http://dx.doi.org/10.1109/cvpr.2015.7298876.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dao, Viet-Anh, Dang-Ha Nguyen, Viet-Bac Nguyen, Thom Tran Thi, and Hoang-Anh Nguyen The. "Face Recognition System for Unconstrained Condition." In 2023 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2023. http://dx.doi.org/10.1109/atc58710.2023.10318921.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Unconstrained face recognition' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography