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Journal articles on the topic 'Free Form Face Recognition'

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1

Hu, Muhua. "Analysis of Accuracy Rate of Distributed Virtual Reality Face Recognition Based on Personal Intelligent Terminal." Mobile Information Systems 2022 (May 13, 2022): 1–11. http://dx.doi.org/10.1155/2022/1131452.

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Due to the fact that problem occurs to the traditional algorithm in the internal change process of the sample set, this paper proposes a distributed virtual reality face recognition algorithm based on the personal intelligent terminal. By the utilization of the face image library with multiple description functions through expansion, the pixel intensity of the face image has data information, the original face image can be used to generate a face image with higher intensity pixels, and the mirror image can increase the detailed data information of the image. By effectively combining source dom
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2

Safo, Martin K., Qixun Zhao, Tzu-Ping Ko, et al. "Crystal Structures of the BlaI Repressor from Staphylococcus aureus and Its Complex with DNA: Insights into Transcriptional Regulation of the bla and mec Operons." Journal of Bacteriology 187, no. 5 (2005): 1833–44. http://dx.doi.org/10.1128/jb.187.5.1833-1844.2005.

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ABSTRACT The 14-kDa BlaI protein represses the transcription of blaZ, the gene encoding β-lactamase. It is homologous to MecI, which regulates the expression of mecA, the gene encoding the penicillin binding protein PBP2a. These genes mediate resistance to β-lactam antibiotics in staphylococci. Both repressors can bind either bla or mec DNA promoter-operator sequences. Regulated resistance genes are activated via receptor-mediated cleavage of the repressors. Cleavage is induced when β-lactam antibiotics bind the extramembrane sensor of the sensor-transducer signaling molecules, BlaR1 or MecR1.
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3

Larson, Christine L., Joel Aronoff, Issidoros C. Sarinopoulos, and David C. Zhu. "Recognizing Threat: A Simple Geometric Shape Activates Neural Circuitry for Threat Detection." Journal of Cognitive Neuroscience 21, no. 8 (2009): 1523–35. http://dx.doi.org/10.1162/jocn.2009.21111.

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The urgent need to recognize danger quickly has been shown to rely on preferential processing in dedicated neural circuitry. In previous behavioral studies examining the pattern of the face when displaying anger, we found evidence that simple noncontextual geometric shapes containing downward-pointing V-shaped angles activate the perception of threat. We here report that the neural circuitry known to be mobilized by many realistic, contextual threatening displays is also triggered by the simplest form of this V-shaped movement pattern, a downward-pointing triangle. Specifically, we show that s
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Saha, Sagor, Farhan Hossain Shakal, and Mufrath Mahmood. "Visual, navigation and communication aid for visually impaired person." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (2021): 1276. http://dx.doi.org/10.11591/ijece.v11i2.pp1276-1283.

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The loss of vision restrained the visually impaired people from performing their daily task. This issue has impeded their free-movement and turned them into dependent a person. People in this sector did not face technologies revamping their situations. With the advent of computer vision, artificial intelligence, the situation improved to a great extent. The propounded design is an implementation of a wearable device which is capable of performing a lot of features. It is employed to provide visual instinct by recognizing objects, identifying the face of choices. The device runs a pre-trained m
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Igloi, Gabor L. "Evolutionary Adjustment of tRNA Identity Rules in Bacillariophyta for Recognition by an Aminoacyl-tRNA Synthetase Adds a Facet to the Origin of Diatoms." Journal of Molecular Evolution 90, no. 2 (2022): 215–26. http://dx.doi.org/10.1007/s00239-022-10053-5.

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AbstractError-free protein synthesis relies on the precise recognition by the aminoacyl-tRNA synthetases of their cognate tRNAs in order to attach the corresponding amino acid. A concept of universal tRNA identity elements requires the aminoacyl-tRNA synthetases provided by the genome of an organism to match the identity elements found in the cognate tRNAs in an evolution-independent manner. Identity elements tend to cluster in the tRNA anticodon and acceptor stem regions. However, in the arginine system, in addition to the anticodon, the importance of nucleotide A20 in the tRNA D-loop for cog
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6

Chen, Hui, Sourajit M. Mustafi, David M. LeMaster, et al. "Crystal structure and conformational flexibility of the unligated FK506-binding protein FKBP12.6." Acta Crystallographica Section D Biological Crystallography 70, no. 3 (2014): 636–46. http://dx.doi.org/10.1107/s1399004713032112.

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The primary known physiological function of FKBP12.6 involves its role in regulating the RyR2 isoform of ryanodine receptor Ca2+channels in cardiac muscle, pancreatic β islets and the central nervous system. With only a single previously reported X-ray structure of FKBP12.6, bound to the immunosuppressant rapamycin, structural inferences for this protein have been drawn from the more extensive studies of the homologous FKBP12. X-ray structures at 1.70 and 1.90 Å resolution fromP21andP3121 crystal forms are reported for an unligated cysteine-free variant of FKBP12.6 which exhibit a notable dive
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7

Thomas, Minu, Sushmitha Veeralingam, and Sushmee Badhulika. "MoSe2/PVA-based wearable multi-functional platform for pulse rate monitoring, skin hydration sensor, and human gesture recognition utilizing electrophysiological signals." Journal of Applied Physics 132, no. 22 (2022): 224303. http://dx.doi.org/10.1063/5.0123238.

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Multifunctional wearable sensors have gained significant popularity in recent years for point of care diagnosis, tackling the myriad of obstacles faced in coping with health-related issues. However, complex fabrication, lack of biocompatibility, non-reusability, and accuracy limit their widespread use. In this work, we report a clean-room-free fabrication of molybdenum diselenide (MoSe2) interspersed with polyvinyl alcohol (PVA) based multifunctional device for in situ and non-invasive high-fidelity human gesture recognition, pulse rate monitoring, and skin hydration sensing. Detailed morpholo
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Goffin, Colette, and Jean-Marie Ghuysen. "Biochemistry and Comparative Genomics of SxxK Superfamily Acyltransferases Offer a Clue to the Mycobacterial Paradox: Presence of Penicillin-Susceptible Target Proteins versus Lack of Efficiency of Penicillin as Therapeutic Agent." Microbiology and Molecular Biology Reviews 66, no. 4 (2002): 702–38. http://dx.doi.org/10.1128/mmbr.66.4.702-738.2002.

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SUMMARY The bacterial acyltransferases of the SxxK superfamily vary enormously in sequence and function, with conservation of particular amino acid groups and all-α and α/β folds. They occur as independent entities (free-standing polypeptides) and as modules linked to other polypeptides (protein fusions). They can be classified into three groups. The group I SxxK d,d-acyltransferases are ubiquitous in the bacterial world. They invariably bear the motifs SxxK, SxN(D), and KT(S)G. Anchored in the plasma membrane with the bulk of the polypeptide chain exposed on the outer face of it, they are imp
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9

Liao, Shengcai, Anil K. Jain, and Stan Z. Li. "Partial Face Recognition: Alignment-Free Approach." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 5 (2013): 1193–205. http://dx.doi.org/10.1109/tpami.2012.191.

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10

Felisberti, Fatima M., and Mark R. McDermott. "Spatial Location in Brief, Free-Viewing Face Encoding Modulates Contextual Face Recognition." i-Perception 4, no. 5 (2013): 352–60. http://dx.doi.org/10.1068/i0582.

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11

Xu, Yong, Xiaozhao Fang, Jane You, Yan Chen, and Hong Liu. "Noise-free representation based classification and face recognition experiments." Neurocomputing 147 (January 2015): 307–14. http://dx.doi.org/10.1016/j.neucom.2014.06.058.

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12

Siti, Siti Nurahmi Nasution, and Adwani Adwani. "Recognition In Asean Free Trade." Journal of Social Science (JoSS) 2, no. 5 (2023): 472–79. http://dx.doi.org/10.57185/joss.v2i6.86.

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The purpose of this paper is to analyze the implementation of the ASEAN Free Trade Agreement and to analyze the principle of recognition in ASEAN free trade. The research method in this paper is using normative legal research methods. This research is a study that uses secondary materials as the main reference material in research. Secondary materials are library materials in the form of documents and scientific papers as sources. The documents used are in the form of legal materials such as laws and regulations, agreements, legal theories, and potential scientific papers as reference material
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13

Kekre, Dr H. B., Sudeep D. Thepade, and Akshay Maloo. "Face Recognition using Texture Features Extracted form Haarlet Pyramid." International Journal of Computer Applications 12, no. 5 (2010): 41–45. http://dx.doi.org/10.5120/1672-2256.

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14

Akhtar, Zahid, and Ajita Rattani. "A Face in any Form: New Challenges and Opportunities for Face Recognition Technology." Computer 50, no. 4 (2017): 80–90. http://dx.doi.org/10.1109/mc.2017.119.

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15

Saeed Mian, Ajmal, Mohammed Bennamoun, and Robyn Owens. "Automated 3D model‐based free‐form object recognition." Sensor Review 24, no. 2 (2004): 206–15. http://dx.doi.org/10.1108/02602280410525995.

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16

Chua, Chin Seng, and Ray Jarvis. "3D free-form surface registration and object recognition." International Journal of Computer Vision 17, no. 1 (1996): 77–99. http://dx.doi.org/10.1007/bf00127819.

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17

Mamic, George, and Mohammed Bennamoun. "Representation and Recognition of 3D Free-Form Objects." Digital Signal Processing 12, no. 1 (2002): 47–76. http://dx.doi.org/10.1006/dspr.2001.0412.

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18

Liang, Xingzhu, and Yu’e Lin. "Enhanced Parameter-Free Diversity Discriminant Preserving Projections for Face Recognition." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 10 (2018): 1856013. http://dx.doi.org/10.1142/s021800141856013x.

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The manifold-based learning methods have recently drawn more and more attention in dimension reduction. In this paper, a novel manifold-based learning method named enhanced parameter-free diversity discriminant preserving projections (EPFDDPP) is presented, which effectively avoids the neighborhood parameter selection and characterizes the manifold structure well. EPFDDPP redefines the weighted matrices, the discriminating similarity matrix and the discriminating diversity matrix, respectively. The weighted matrices are computed by the cosine angle distance between two data points and take spe
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19

Ellis, Andrew W., Andrew W. Young, Brenda M. Flude, and Dennis C. Hay. "Repetition priming of face recognition." Quarterly Journal of Experimental Psychology Section A 39, no. 2 (1987): 193–210. http://dx.doi.org/10.1080/14640748708401784.

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Three experiments investigating the priming of the recognition of familiar faces are reported. In Experiment 1, recognizing the face of a celebrity in an “Is this face familiar?” task was primed by exposure several minutes earlier to a different photograph of the same person, but not by exposure to the person's written name (a partial replication of Bruce and Valentine, 1985). In Experiment 2, recognizing the face of a personal acquaintance was again primed by recognizing a different photograph of their face, but not by recognizing the acquaintance from that person's body shape, clothes etc. E
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20

Bate, Sarah, Rachel J. Bennetts, Nicola Gregory, et al. "Objective Patterns of Face Recognition Deficits in 165 Adults with Self-Reported Developmental Prosopagnosia." Brain Sciences 9, no. 6 (2019): 133. http://dx.doi.org/10.3390/brainsci9060133.

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In the last 15 years, increasing numbers of individuals have self-referred to research laboratories in the belief that they experience severe everyday difficulties with face recognition. The condition “developmental prosopagnosia” (DP) is typically diagnosed when impairment is identified on at least two objective face-processing tests, usually involving assessments of face perception, unfamiliar face memory, and famous face recognition. While existing evidence suggests that some individuals may have a mnemonic form of prosopagnosia, it is also possible that other subtypes exist. The current st
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21

Li, Xianwei. "Recognition Method for Face Local Features Based on Fuzzy Algorithm and Intelligent Data Analysis." Discrete Dynamics in Nature and Society 2022 (September 16, 2022): 1–12. http://dx.doi.org/10.1155/2022/4345040.

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Traditional recognition methods for face local features have a low recognition rate, so the recognition method for face local features based on the fuzzy algorithm and intelligent data analysis was designed. Firstly, the wavelet denoising method was used to reduce the noise of face images, and adaptive template matching was performed on the obtained images. Then, the face information was encoded, and the face features were identified to locate the face features. On this basis, the principal components of the face were analyzed to obtain the global features of the face. Finally, through the can
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22

Iskandar, Dwi, Norma Puspitasari, and Muh Alif Fathoni. "E-ABSENSI BERBASIS FACE RECOGNITION DI KODEKIDDO SOLO." I N F O R M A T I K A 14, no. 1 (2022): 67. http://dx.doi.org/10.36723/juri.v14i1.330.

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Absensi memiliki fungsi yang sangat penting dalam dunia pekerjaan. Proses absensi yang dilakukan secara manual dinilai kurang efektif karena terbukanya kesempatan melakukan kecurangan. Selain itu, proses rekapitulasi manual membutuhkan waktu yang lama. Pengenalan wajah manusia (human face recognition) adalah cabang utama dalam bidang verifikasi biometrik selain pengenalan retina mata, sidik jari dan pola tanda tangan. KodeKiddo Solo merupakan perusahaan yang bergerak dibidang jasa belajar coding yang interaktif dan seru untuk anak-anak. Absensi guru dalam KodeKiddo menggunakan google form dan
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23

Dobs, Katharina, Isabelle Bülthoff, and Leila Reddy. "Optimal integration of facial form and motion during face recognition." Journal of Vision 16, no. 12 (2016): 925. http://dx.doi.org/10.1167/16.12.925.

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24

Ouanan, Hamid, Mohammed Ouanan, and Brahim Aksasse. "Gabor-HOG Features based Face Recognition Scheme." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 2 (2015): 331. http://dx.doi.org/10.11591/tijee.v15i2.1546.

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Extraction of invariant features is the core of Face RecognitionSystems (FRS). This work proposes a novel feature extractor-fusion scheme using two powerful feature descriptor known as Gabor Filters (GFs) and Histogram of Oriented Gradient (HOG), which the face image is filtered with the multiscale multiresolution Gabor filter bank to generate multiple Gabor magnitude images (GMIs), then the down-sampled GMIs and apply Histogram of Oriented Gradient to form the features. The experimental results on the FERET face database show the effectiveness of our methods.
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25

Zhai, Zhonghua, Pengju Yang, Xiaofeng Zhang, et al. "Demodalizing Face Recognition with Synthetic Samples." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (2021): 3278–86. http://dx.doi.org/10.1609/aaai.v35i4.16439.

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Using data generated by generative adversarial networks or three-dimensional (3D) technology for face recognition training is a theoretically reasonable solution to the problems of unbalanced data distributions and data scarcity. However, due to the modal difference between synthetic data and real data, the direct use of data for training often leads to a decrease in the recognition performance, and the effect of synthetic data on recognition remains ambiguous. In this paper, after observing in experiments that modality information has a fixed form, we propose a demodalizing face recognition t
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Hebert, M., K. Ikeuchi, and H. Delingette. "A spherical representation for recognition of free-form surfaces." IEEE Transactions on Pattern Analysis and Machine Intelligence 17, no. 7 (1995): 681–90. http://dx.doi.org/10.1109/34.391410.

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27

Saeed Mian, Ajmal, Mohammed Bennamoun, and Robyn Owens. "3D model‐based free‐form object recognition – a review." Sensor Review 25, no. 2 (2005): 148–54. http://dx.doi.org/10.1108/02602280510585745.

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28

Boyer, Kim L., Ravi Srikantiah, and Patrick J. Flynn. "Saliency Sequential Surface Organization for Free-Form Object Recognition." Computer Vision and Image Understanding 88, no. 3 (2002): 152–88. http://dx.doi.org/10.1006/cviu.2002.0973.

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29

Karuppasamy, Dr K. "Touch Free Challan Form Filling System using Face Detection." International Journal for Research in Applied Science and Engineering Technology 8, no. 9 (2020): 485–88. http://dx.doi.org/10.22214/ijraset.2020.31507.

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30

Vyshnavi, P. "Employee Attendance Management System using Face Recognition." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 5303–8. http://dx.doi.org/10.22214/ijraset.2021.36207.

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Automatic Facial Recognition Attendance System is a type of automated identification system that can recognize any person whose facial features have been saved in the database. This technology could be used by all corporations in the coming years, offices to keep track of who comes and goes. The attendance method is based on facial recognition technology. A real-time, contactless attendance tracking system that is extremely useful in today's world circumstances of a pandemic. After COVID, the work environment will not be the same. Despite the fact that the virus is still spreading, firms are a
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31

Mareeswari V. "Face Emotion Recognition based Recommendation System." ACS Journal for Science and Engineering 2, no. 1 (2022): 73–80. http://dx.doi.org/10.34293/acsjse.v2i1.29.

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Face recognition technology has gotten a lot of press because of its wide range of applications and market potential. It is used in a variety of fields, including surveillance systems, digital video editing, and other technical advancements. In the fields of tourism, music, video, and film, these systems have overcome the burden of irrelevant knowledge by taking into account user desires and emotional states. Advice systems, emotion recognition, and machine learning are proposed as thematic categories in the analysis. Our vision is to develop a method for recommending new content that is based
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32

De Haan, Edward H. F., Andrew W. Young, and Freda Newcombe. "Neuropsychological Impairment of Face Recognition Units." Quarterly Journal of Experimental Psychology Section A 44, no. 1 (1992): 141–75. http://dx.doi.org/10.1080/14640749208401287.

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Despite the absence of “conscious”, overt identification, some patients with face recognition impairments continue covertly to process information regarding face familiarity. The fact that by no means all patients show these covert effects has led to the suggestion that indirect recogntion tasks may help in identifying different types of face recognition impairment. The present report describes a number of experiments with the patient NR, who, after a closed head injury, has been severely impaired at recognizing familiar faces. Investigations mostly failed to show overt or covert face recognit
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Ab Wahab, Kasmawahida, Lee Weng Yew, and Nor Amizam Jusoh. "Online Attendance System Using Face Recognition." Engineering, Agriculture, Science and Technology Journal (EAST-J) 1, no. 1 (2022): 57–61. http://dx.doi.org/10.37698/eastj.v1i1.120.

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An attendance management system is a system used to record the daily attendance and can be used to compile insightful data for better decision making. During the Covid-19 pandemic period, most employees at University College of Yayasan Pahang (UCYP) were instructed to work from home in order to reduce the spread of the disease in workplace. The UCYP’s Human Resource (HR) department record attendance and tasks done by employees during working at home by using word-processing based manual form. IT Department of UCYP has developed portal-based attendance system to keep electronic record of staffs
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Wang, Rong, ZaiFeng Shi, Qifeng Li, Ronghua Gao, Chunjiang Zhao, and Lu Feng. "Pig Face Recognition Model Based on a Cascaded Network." Applied Engineering in Agriculture 37, no. 5 (2021): 879–90. http://dx.doi.org/10.13031/aea.14482.

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HighlightsA pig face recognition model that cascades the pig face detection network and pig face recognition network is proposed.The pig face detection network can automatically extract pig face images to reduce the influence of the background.The proposed cascaded model reaches accuracies of 99.38%, 98.96% and 97.66% on the three datasets.An application is developed to automatically recognize individual pigs.Abstract. The identification and tracking of livestock using artificial intelligence technology have been a research hotspot in recent years. Automatic individual recognition is the key t
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35

Borowiak, Kamila, and Katharina von Kriegstein. "Dorsal face-movement and ventral face-form regions are functionally connected during visual—speech recognition." Journal of Vision 19, no. 10 (2019): 183a. http://dx.doi.org/10.1167/19.10.183a.

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36

Мельник, Р. А., Р. І. Квіт, and Т. М. Сало. "Face image profiles features extraction for recognition systems." Scientific Bulletin of UNFU 31, no. 1 (2021): 117–21. http://dx.doi.org/10.36930/40310120.

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The object of research is the algorithm of piecewise linear approximation when applying it to the selection of facial features and compression of its images. One of the problem areas is to obtain the optimal ratio of the degree of compression and accuracy of image reproduction, as well as the accuracy of the obtained facial features, which can be used to search for people in databases. The main characteristics of the image of the face are the coordinates and size of the eyes, mouth, nose and other objects of attention. Dimensions, distances between them, as well as their relationship also form
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Nasution, Muhammad Zulfahmi. "Face Recognition based Feature Extraction using Principal Component Analysis (PCA)." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 3, no. 2 (2020): 182–91. http://dx.doi.org/10.31289/jite.v3i2.3132.

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The human face is an entity that has semantic features. Face detection is the first step before face recognition. Face recognition technique is an identification process based on facial features. One feature extraction approach for facial recognition techniques is the Principal Component Analysis (PCA) method. The PCA method is used to simplify facial features and characteristics in order to obtain proportions that are able to represent the characteristics of the original face. The purpose of this research is to construct facial patterns stored in a digital image database. The process of patte
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Utomo, Budi Tri, Iskandar Fitri, and Eri Mardiani. "Penerapan Face Recognition pada Aplikasi Akademik Online." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 5, no. 4 (2021): 420. http://dx.doi.org/10.35870/jtik.v5i4.244.

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In the era of big data, the biometric identification process is growing very fast and is increasingly being implemented in many applications. Face recognition technology utilizes artificial intelligence (AI) to recognize faces that are already stored in the database. In this research, it is proposed to design an online academic login system at the National University using real time face recognition used OpenCV with the Local Binary Pattern Histogram algorithm and the Haar Cassade Classification method. The system will detect, recognize and compare faces with the stored face database. The imag
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39

Jiang, Hairong, Juan P. Wachs, and Bradley S. Duerstock. "Integrated vision-based system for efficient, semi-automated control of a robotic manipulator." International Journal of Intelligent Computing and Cybernetics 7, no. 3 (2014): 253–66. http://dx.doi.org/10.1108/ijicc-09-2013-0042.

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Purpose – The purpose of this paper is to develop an integrated, computer vision-based system to operate a commercial wheelchair-mounted robotic manipulator (WMRM). In addition, a gesture recognition interface system was developed specially for individuals with upper-level spinal cord injuries including object tracking and face recognition to function as an efficient, hands-free WMRM controller. Design/methodology/approach – Two Kinect® cameras were used synergistically to perform a variety of simple object retrieval tasks. One camera was used to interpret the hand gestures and locate the oper
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40

Manssor, Samah A. F., Shaoyuan Sun, and Mohammed A. M. Elhassan. "Real-Time Human Recognition at Night via Integrated Face and Gait Recognition Technologies." Sensors 21, no. 13 (2021): 4323. http://dx.doi.org/10.3390/s21134323.

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Human recognition technology is a task that determines the people existing in images with the purpose of identifying them. However, automatic human recognition at night is still a challenge because of its need to align requirements with a high accuracy rate and speed. This article aims to design a novel approach that applies integrated face and gait analyses to enhance the performance of real-time human recognition in TIR images at night under various walking conditions. Therefore, a new network is proposed to improve the YOLOv3 model by fusing face and gait classifiers to identify individuals
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41

Lapko, A. V., and V. A. Lapko. "Face DetectNet: face detection via fully-convolutional network." Computer Optics 43, no. 2 (2019): 238–44. http://dx.doi.org/10.18287/2412-6179-2019-43-2-238-244.

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The paper deals with a new method of testing hypotheses for the distribution of multidimensional remote sensing spectral data. The proposed technique is based on the use of nonparametric algorithms for pattern recognition. Testing the hypothesis of the identity of two laws of distributions of multidimensional random variables is replaced by testing a hypothesis stating that the pattern recognition error equals 0.5. The application of this technique allows doing without the decomposition of the random variable domain into multidimensional intervals, which is typical for the Pearson criterion. I
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Reddy, A. Mallikarjuna, V. Venkata Krishna, and L. Sumalatha. "Face recognition based on stable uniform patterns." International Journal of Engineering & Technology 7, no. 2 (2018): 626. http://dx.doi.org/10.14419/ijet.v7i2.9922.

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Face recognition (FR) is one of the challenging and active research fields of image processing, computer vision and biometrics with numerous proposed systems. We present a feature extraction method named “stable uniform local pattern (SULP)”, a refined variant of ULBP operator, for robust face recognition. The SULP directly applied on gradient face images (in x and y directions) of a single image for capturing significant fundamental local texture patterns to build up a feature vector of a face image. Histogram sequences of SULP images of the two gradient images are finally concatenated to for
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43

GERMA, T., F. LERASLE, and T. SIMON. "VIDEO-BASED FACE RECOGNITION AND TRACKING FROM A ROBOT COMPANION." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (2009): 591–616. http://dx.doi.org/10.1142/s0218001409007223.

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This paper deals with video-based face recognition and tracking from a camera mounted on a mobile robot companion. All persons must be logically identified before being authorized to interact with the robot while continuous tracking is compulsory in order to estimate the person's approximate position. A first contribution relates to experiments of still-image-based face recognition methods in order to check which image projection and classifier associations give the highest performance of the face database acquired from our robot. Our approach, based on Principal Component Analysis (PCA) and S
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Guthier, T., V. Willert, and J. Eggert. "Topological Sparse Learning of Dynamic Form Patterns." Neural Computation 27, no. 1 (2015): 42–73. http://dx.doi.org/10.1162/neco_a_00670.

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Motion is a crucial source of information for a variety of tasks in social interactions. The process of how humans recognize complex articulated movements such as gestures or face expressions remains largely unclear. There is an ongoing discussion if and how explicit low-level motion information, such as optical flow, is involved in the recognition process. Motivated by this discussion, we introduce a computational model that classifies the spatial configuration of gradient and optical flow patterns. The patterns are learned with an unsupervised learning algorithm based on translation-invarian
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Kondo, Kazuaki, Yasuhiro Mukaigawa, and Yasushi Yagi. "Integrability-based Free-Form Mirror Design." IPSJ Transactions on Computer Vision and Applications 1 (2009): 158–73. http://dx.doi.org/10.2197/ipsjtcva.1.158.

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Avarguès-Weber, A., D. d’Amaro, M. Metzler, J. E. Garcia, and A. G. Dyer. "Recognition of human face images by the free flying wasp Vespula vulgaris." Animal Behavior and Cognition 4, no. 3 (2017): 314–23. http://dx.doi.org/10.26451/abc.04.03.09.2017.

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Bacchini, Fabio, and Ludovica Lorusso. "Race, again: how face recognition technology reinforces racial discrimination." Journal of Information, Communication and Ethics in Society 17, no. 3 (2019): 321–35. http://dx.doi.org/10.1108/jices-05-2018-0050.

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Purpose This study aims to explore whether face recognition technology – as it is intensely used by state and local police departments and law enforcement agencies – is racism free or, on the contrary, is affected by racial biases and/or racist prejudices, thus reinforcing overall racial discrimination. Design/methodology/approach The study investigates the causal pathways through which face recognition technology may reinforce the racial disproportion in enforcement; it also inquires whether it further discriminates black people by making them experience more racial discrimination and self-id
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Mokhtarian, F., N. Khalili, and P. Yuen. "Multi-scale free-form 3D object recognition using 3D models." Image and Vision Computing 19, no. 5 (2001): 271–81. http://dx.doi.org/10.1016/s0262-8856(00)00076-7.

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Flores-Rodríguez, Karen Lizbeth, and Felipe Trujillo-Romero. "Free Form Object Recognition Module using A-KAZE and GCS." Research in Computing Science 118, no. 1 (2016): 19–29. http://dx.doi.org/10.13053/rcs-118-1-2.

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Chen, Jin-Long, and George C. Stockman. "3D Free-Form Object Recognition Using Indexing by Contour Features." Computer Vision and Image Understanding 71, no. 3 (1998): 334–55. http://dx.doi.org/10.1006/cviu.1997.0648.

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