Relevant bibliographies by topics / Infrared imaging. Human face recognition (Computer science)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books

Academic literature on the topic 'Infrared imaging. Human face recognition (Computer science)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Infrared imaging. Human face recognition (Computer science)"

1

Sun, Pengcheng, Dan Zeng, Xiaoyan Li, et al. "A 3D Mask Presentation Attack Detection Method Based on Polarization Medium Wave Infrared Imaging." Symmetry 12, no. 3 (2020): 376. http://dx.doi.org/10.3390/sym12030376.

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Facial recognition systems are often spoofed by presentation attack instruments (PAI), especially by the use of three-dimensional (3D) face masks. However, nonuniform illumination conditions and significant differences in facial appearance will lead to the performance degradation of existing presentation attack detection (PAD) methods. Based on conventional thermal infrared imaging, a PAD method based on the medium wave infrared (MWIR) polarization characteristics of the surface material is proposed in this paper for countering a flexible 3D silicone mask presentation attack. A polarization MW
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2

Wu, Mengmeng, Dongmei Wei, Liren Zhang, and Yuefeng Zhao. "Hyperspectral Face Recognition with Patch-Based Low Rank Tensor Decomposition and PFFT Algorithm." Symmetry 10, no. 12 (2018): 714. http://dx.doi.org/10.3390/sym10120714.

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Hyperspectral imaging technology with sufficiently discriminative spectral and spatial information brings new opportunities for robust facial image recognition. However, hyperspectral imaging poses several challenges including a low signal-to-noise ratio (SNR), intra-person misalignment of wavelength bands, and a high data dimensionality. Many studies have proven that both global and local facial features play an important role in face recognition. This research proposed a novel local features extraction algorithm for hyperspectral facial images using local patch based low-rank tensor decompos
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3

Xiong, Wei, Hongyu Yang, Pei Zhou, Keren Fu, and Jiangping Zhu. "Spatiotemporal Correlation-Based Accurate 3D Face Imaging Using Speckle Projection and Real-Time Improvement." Applied Sciences 11, no. 18 (2021): 8588. http://dx.doi.org/10.3390/app11188588.

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The reconstruction of 3D face data is widely used in the fields of biometric recognition and virtual reality. However, the rapid acquisition of 3D data is plagued by reconstruction accuracy, slow speed, excessive scenes and contemporary reconstruction-technology. To solve this problem, an accurate 3D face-imaging implementation framework based on coarse-to-fine spatiotemporal correlation is designed, improving the spatiotemporal correlation stereo matching process and accelerating the processing using a spatiotemporal box filter. The reliability of the reconstruction parameters is further veri
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4

Kartbayev, Timur, Bahitzhan Akhmetov, Aliya Doszhanova, et al. "DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS." Image Analysis & Stereology 36, no. 1 (2017): 51. http://dx.doi.org/10.5566/ias.1612.

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The aim of the study is to increase the effectiveness of automated face recognition to authenticate identity, considering features of change of the face parameters over time. The improvement of the recognition accuracy, as well as consideration of the features of temporal changes in a human face can be based on the methodology of artificial neural networks. Hybrid neural networks, combining the advantages of classical neural networks and fuzzy logic systems, allow using the network learnability along with the explanation of the findings. The structural scheme of intelligent system for identifi
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Tawiah, Thomas Andzi-Quainoo. "A review of algorithms and techniques for image-based recognition and inference in mobile robotic systems." International Journal of Advanced Robotic Systems 17, no. 6 (2020): 172988142097227. http://dx.doi.org/10.1177/1729881420972278.

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Autonomous vehicles include driverless, self-driving and robotic cars, and other platforms capable of sensing and interacting with its environment and navigating without human help. On the other hand, semiautonomous vehicles achieve partial realization of autonomy with human intervention, for example, in driver-assisted vehicles. Autonomous vehicles first interact with their surrounding using mounted sensors. Typically, visual sensors are used to acquire images, and computer vision techniques, signal processing, machine learning, and other techniques are applied to acquire, process, and extrac
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Priya, A. Saravana, and Dr Rajeswari Mukesh. "GA based Feature Selection for Multimodal Biometric Authentication." Indian Journal of Computer Science and Engineering 12, no. 2 (2021): 526–38. http://dx.doi.org/10.21817/indjcse/2021/v12i2/211202163.

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Multi-modal biometric authentication effectively replaces uni-modal biometric authentication system towards addressing a wide range of technical glitches in identity management and authentication. Legitimacy is playing a vital role in banking, military, and healthcare sectors where highly secure, strategic and confidential data transmission is involved. By integrating many independent biometric systems, one can overcome the problems of spoofing. However, there is lack of a simple, efficient and sufficient biometric authentication. Hence, the present study focuses on designing and implementing
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Yang, Shuqiang, Deqiang Cheng, Jun Wang, Huafeng Qin, and Yike Liu. "Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging." Applied Sciences 11, no. 18 (2021): 8470. http://dx.doi.org/10.3390/app11188470.

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Vein recognition technology identifies human vein characteristics under near-infrared light and compares it with stored vein information for personal identification. Although this has high anti-counterfeiting performance, it is possible to fabricate artificial hands that simulate vein characteristics to deceive the identity authentication system. In view of this potential deficiency, we introduced heart rate information to vein authentication, a means of living body detection, which can further improve the anti-counterfeiting effect of vein authentication. A hand vein transillumination imaging
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8

Dhanapal, Jagadeesan, Badrinath Narayanamurthy, Vijayakumar Shanmugam, Asha Gangadharan, and Magesh S. "Pervasive computational model and wearable devices for prediction of respiratory symptoms in progression of COVID-19." International Journal of Pervasive Computing and Communications 16, no. 4 (2020): 371–81. http://dx.doi.org/10.1108/ijpcc-07-2020-0077.

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Purpose The purpose of this paper is to provide a model for prediction of respiratory symptoms in the progression of COVID-19, social distancing, frequent hand washes, wearing of face mask in public are some of the potential measures of preventing the disease from further spreading. In spite of the effects and efforts taken by governments, the pandemic is still uncontrolled in major cities of the world. The proposed technique in this paper introduces a non-intrusive and major screening of vital symptoms and changes in the respiratory organs. Design/methodology/approach The novel coronavirus or
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Et al., Horkaew. "Eyewitnesses’ Visual Recollection in Suspect Identification by using Facial Appearance Model." Baghdad Science Journal 17, no. 1 (2020): 0190. http://dx.doi.org/10.21123/bsj.2020.17.1.0190.

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Facial recognition has been an active field of imaging science. With the recent progresses in computer vision development, it is extensively applied in various areas, especially in law enforcement and security. Human face is a viable biometric that could be effectively used in both identification and verification. Thus far, regardless of a facial model and relevant metrics employed, its main shortcoming is that it requires a facial image, against which comparison is made. Therefore, closed circuit televisions and a facial database are always needed in an operational system. For the last few de
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Quinan, C. L., and Hannah Pezzack. "A Biometric Logic of Revelation: Zach Blas’s SANCTUM (2018)." M/C Journal 23, no. 4 (2020). http://dx.doi.org/10.5204/mcj.1664.

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Ubiquitous in airports, border checkpoints, and other securitised spaces throughout the world, full-body imaging scanners claim to read bodies in order to identify if they pose security threats. Millimetre-wave body imaging machines—the most common type of body scanner—display to the operating security agent a screen with a generic body outline. If an anomaly is found or if an individual does not align with the machine’s understanding of an “average” body, a small box is highlighted and placed around the “problem” area, prompting further inspection in the form of pat-downs or questioning. In t
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Dissertations / Theses on the topic "Infrared imaging. Human face recognition (Computer science)"

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Lee, Colin K. "Infrared face recognition." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FLee%5FColin.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2004.<br>Thesis advisor(s): Monique P. Fargues, Gamani Karunasiri. Includes bibliographical references (p. 135-136). Also available online.
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2

Domboulas, Dimitrios I. "Infrared imaging face recognition using nonlinear kernel-based classifiers." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FDomboulas.pdf.

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Thesis (Electrical Engineer and M.S. in Electrical Engineering)--Naval Postgraduate School, Dec. 2004.<br>Thesis Advisor(s): Monique P. Fargues. Includes bibliographical references (p. 107-109). Also available online.
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Akinbola, Akintunde A. "Estimation of image quality factors for face recognition." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4308.

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Thesis (M.S.)--West Virginia University, 2005.<br>Title from document title page. Document formatted into pages; contains vi, 56 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 52-56).
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Day, Adam C. "Designing a face detection CAPTCHA." Morgantown, W. Va. : [West Virginia University Libraries], 2010. http://hdl.handle.net/10450/11036.

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Thesis (M.S.)--West Virginia University, 2010.<br>Title from document title page. Document formatted into pages; contains viii, 80 p. : ill. Includes abstract. Includes bibliographical references (p. 78-80).
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Chen, Xiaochen. "Tracking vertex flow on 3D dynamic facial models." Diss., Online access via UMI:, 2008.

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6

Rosato, Matthew J. "Applying conformal mapping to the vertex correspondence problem for 3D face models." Diss., Online access via UMI:, 2007.

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7

Lee, Jinho. "Synthesis and analysis of human faces using multi-view, multi-illumination image ensembles." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1133366279.

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8

Wei, Xiaozhou. "3D facial expression modeling and analysis with topographic information." Diss., Online access via UMI:, 2008.

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9

"An adaptive near-infrared illuminator for outdoor face recognition." 2010. http://library.cuhk.edu.hk/record=b5894297.

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Cheung, Siu Ming.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2010.<br>Includes bibliographical references (leaves 81-86).<br>Abstracts in English and Chinese.<br>Chapter 1. --- INTRODUCTION --- p.1<br>Chapter 1.1. --- Introduction to Face Recognition --- p.2<br>Chapter 1.1.1. --- Modes of Face Recognition --- p.2<br>Chapter 1.1.2. --- Typical Face Recognition System --- p.3<br>Chapter 1.1.3. --- Face Recognition Algorithms --- p.4<br>Chapter 1.1.4. --- The State of the Art --- p.5<br>Chapter 1.2. --- Outdoor Face Recognition --- p.6<br>Chapter 1.2.1. --- The Outdoor Environme
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Jahanbin, Sina. "New approaches to automatic 3-D and 2-D 3-D face recognition." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-2990.

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Automatic face recognition has attracted the attention of many research institutes, commercial industries, and government agencies in the past few years mainly due to the emergence of numerous applications, such as surveillance, access control to secure facilities, and airport screening. Almost all of the research on the early days of face recognition was focused on using 2-D (intensity/portrait) images of the face. While several sophisticated 2-D solutions have been proposed, unbiased evaluation studies show that their collective performance remains unsatisfactory, and degrades significantly
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Books on the topic "Infrared imaging. Human face recognition (Computer science)"

1

Srivastava, Anuj, Remco Veltkamp, and Mohamed Daoudi. 3D Face Modeling, Analysis and Recognition. Wiley & Sons, Incorporated, John, 2013.

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2

Srivastava, Anuj, Remco Veltkamp, and Mohamed Daoudi. 3D Face Modeling, Analysis and Recognition. Wiley, 2013.

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3

Srivastava, Anuj, Remco Veltkamp, and Mohamed Daoudi. 3D Face Modeling, Analysis and Recognition. Wiley & Sons, Incorporated, John, 2013.

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