Academic literature on the topic 'Artificial vision system'

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Journal articles on the topic "Artificial vision system"

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Fink, Wolfgang, and Mark A. Tarbell. "Artificial vision support system (AVS2) for improved prosthetic vision." Journal of Medical Engineering & Technology 38, no. 8 (2014): 385–95. http://dx.doi.org/10.3109/03091902.2014.957869.

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Loresco, Pocholo James M., and Elmer Dadios. "Vision-Based Lettuce Growth Stage Decision Support System Using Artificial Neural Networks." International Journal of Machine Learning and Computing 10, no. 4 (2020): 534–41. http://dx.doi.org/10.18178/ijmlc.2020.10.4.969.

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Mauledoux, Mauricio M., Carlos Hernandez, Crhistian C. G. Segura, and Oscar F. Aviles. "Object Tracking System Based on Artificial Vision Algorithms." Applied Mechanics and Materials 713-715 (January 2015): 420–23. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.420.

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This document describes the architecture of a tracking system with two degrees of freedom (pan and tilt), endowed with artificial vision to follow the path of a moving object. The mechanism with a fixed base was designed to cover lateral and vertical ranges of movement, similar to the visual field in humans, limiting its depth by the resolution of the camera. The object that defines the motion path presents color uniformity across its surface, becoming the main feature in which the recognition and tracking algorithm were based. The tracking is performed by reducing the error between the object
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Seo, Chang-Jin. "Artificial Vision System using Human Visual Information Processing." Journal of Digital Convergence 12, no. 11 (2014): 349–55. http://dx.doi.org/10.14400/jdc.2014.12.11.349.

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Sanmartín and Briceño. "Development of an Artificial Vision System for Underwater Vehicles." Proceedings 21, no. 1 (2019): 1. http://dx.doi.org/10.3390/proceedings2019021001.

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Beyond certain depth there is no light, supposing the main obstacle in the use of optical systems beneath the water. Therefore, the underwater vision system developed is composed of a set of underwater lights which allow the system to work properly and the cameras. These are integrated with the navigation system through the Robot Operating System (ROS) framework, which handles the acquisition and processing of information to be used as support for the navigation and which is also essential for its use in reconnaissance missions.
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Faber, Tracy L. "Next generation artificial vision systems: reverse engineering the human visual system." Academic Radiology 16, no. 5 (2009): 642. http://dx.doi.org/10.1016/j.acra.2009.01.013.

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Bourbakis, Nikolaos G., Mike Papazoglou, and George Alexiou. "Multiprocessor vision system." Microprocessors and Microsystems 14, no. 9 (1990): 573–82. http://dx.doi.org/10.1016/0141-9331(90)90092-a.

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MERTOGUNO, J. S., and N. G. BOURBAKIS. "KYDON VISION SYSTEM: THE ADAPTIVE LEARNING MODEL." International Journal on Artificial Intelligence Tools 04, no. 04 (1995): 453–69. http://dx.doi.org/10.1142/s021821309500022x.

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In this paper, an adaptive learning model for an autonomous vision system multi-layers architecture, called Kydon, are presented, modeled, and analyzed. In particular two critical (deletion and saturation) points on the learning curve are evaluated. These points represent two extreme states on the learning process. The Kydon architecture consists of ‘k’ layers array processors. The lowest layers consists of lower-level processing layers, and the rest consists of higher-level processing layers. The interconnectivity of the PEs in each array is based on a full hexagonal mesh structure. Kydon use
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STEFANOV, S. Z. "DAILY ARTIFICIAL DISPATCHER LONG-TERM VISION." New Mathematics and Natural Computation 09, no. 01 (2013): 65–75. http://dx.doi.org/10.1142/s1793005713500051.

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Long-term vision of an electrical power system (EPS) "Daily Artificial Dispatcher" is expressed as intentions for secure and effective leading for a day ahead, transferred into modes via memory and adaptation. This long-term vision is interpreted as a story for a nine or ten-year-old child for his efforts not to disperse his friends.
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Komati, Karin S., and Alberto F. De Souza. "Using Weightless Neural Networks for Vergence Control in an Artificial Vision System." Applied Bionics and Biomechanics 1, no. 1 (2003): 21–31. http://dx.doi.org/10.1155/2003/626283.

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This paper presents a methodology we have developed and used to implement an artificial binocular vision system capable of emulating the vergence of eye movements. This methodology involves using weightless neural networks (WNNs) as building blocks of artificial vision systems. Using the proposed methodology, we have designed several architectures of WNN-based artificial vision systems, in which images captured by virtual cameras are used for controlling the position of the ‘foveae’ of these cameras (high-resolution region of the images captured). Our best architecture is able to control the f
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Dissertations / Theses on the topic "Artificial vision system"

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Luwes, Nicolaas Johannes. "Artificial intelligence machine vision grading system." Thesis, Bloemfontein : Central University of Technology, Free State, 2014. http://hdl.handle.net/11462/35.

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Wan, Chuen L. "Traffic representation by artificial neural system and computer vision." Thesis, Edinburgh Napier University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261024.

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Cross, Nicola. "An attentional what-where vision system using artificial neural networks." Thesis, University of Warwick, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342611.

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Hasan, N. K. "An adaptive artificial vision system for recognition and handling of industrial parts." Thesis, Brunel University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.374430.

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Santos, Joaquim Vasco Oliveira dos. "Development of a robotic vision system with a modular architecture." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14028.

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Mestrado em Engenharia Computadores e Telemática<br>Vision systems are becoming a very active research area and rapidly changing with new applications arising more and more. Applications using image processing are getting common as time moves forward, and applications such as converting documents to text, cameras detecting faces and people smiling, object recognition among others are found in daily objects such as cameras and phones. With the development of vision systems, robotics is an area that can bene t a lot more from abilities such as object detection and information extraction s
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Trifan, Alina Liliana. "Development of a vision system for humanoid robots." Master's thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7173.

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Tabandeh, Amir S. "Artificial intelligence techniques and concepts for integrating a robot vision system with a solid modeller." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.253728.

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Fuentes, Hurtado Félix José. "A system for modeling social traits in realistic faces with artificial intelligence." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/101943.

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Los seres humanos han desarrollado especialmente su capacidad perceptiva para procesar caras y extraer información de las características faciales. Usando nuestra capacidad conductual para percibir rostros, hacemos atribuciones tales como personalidad, inteligencia o confiabilidad basadas en la apariencia facial que a menudo tienen un fuerte impacto en el comportamiento social en diferentes dominios. Por lo tanto, las caras desempeñan un papel fundamental en nuestras relaciones con otras personas y en nuestras decisiones cotidianas. Con la popularización de Internet, las personas participan e
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Okapuu-von, Veh Alexander. "Sound and vision : audiovisual aspects of a virtual-reality personnel-training system." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23752.

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This thesis describes a prototype virtual reality (VR) training system. E scSOPE-VR, designed and implemented for Hydro-Quebec by graduate students at McGill University and Ecole Polytechnique de Montreal. The project was motivated by the necessity of providing a realistic training environment for substation operators, while ensuring their safety and the network's integrity at all times.<br>With the simulator, trainees can carry out all the switching operations necessary for their work in absolute safety, while staying in a realistic environment. A speech-recognition system controls the traini
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Dias, René Octavio Queiroz. "A computer vision system for recognizing plant species in the wild using convolutional neural networks." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/24650.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecânica, 2017.<br>Submitted by Albânia Cézar de Melo (albania@bce.unb.br) on 2017-08-24T13:58:08Z No. of bitstreams: 1 2017_RenéOctavioQueirozDias.pdf: 17746801 bytes, checksum: 9dc00a9435aa0263edd4056fbbad2612 (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-09-26T16:44:32Z (GMT) No. of bitstreams: 1 2017_RenéOctavioQueirozDias.pdf: 17746801 bytes, checksum: 9dc00a9435aa0263edd4056fbbad2612 (MD5)<br>Made available in DSpace on 2017-09-26T16:44:32Z (GMT
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Books on the topic "Artificial vision system"

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Cross, Nicola. An attentional what-where vision system using artificial neural networks. typescript, 1999.

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Hasan, Nameer Kamal. An adaptive artificial vision system for recognition and handling of industrial parts. Brunel University, 1987.

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Kamal, A. K. M. Mostafa. Development of a flexible vision system using artificial intelligence for robotic assembly tasks. University of Birmingham, 1993.

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A, Sousa Leonel, ed. Bioelectronic vision: Retina models, evaluation metrics, and system design. World Scientific, 2009.

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1970-, Timmis Jonathan, ed. Artificial immune systems: A new computational intelligence approach. Springer, 2002.

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Rutkowski, Leszek. New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing. Springer Berlin Heidelberg, 2004.

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Song, Dezhen. Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras. Springer Berlin Heidelberg, 2009.

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Orban, Guy A., and Hans-Hellmut Nagel, eds. Artificial and Biological Vision Systems. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77840-7.

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Boyer, Kim L. Perceptual Organization for Artificial Vision Systems. Springer US, 2000.

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Boyer, Kim L., and Sudeep Sarkar, eds. Perceptual Organization for Artificial Vision Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4413-5.

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Book chapters on the topic "Artificial vision system"

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Falabella, Paulo, Hossein Nazari, Paulo Schor, James D. Weiland, and Mark S. Humayun. "Argus® II Retinal Prosthesis System." In Artificial Vision. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41876-6_5.

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Potapov, Alexey, Sergey Rodionov, Maxim Peterson, Oleg Scherbakov, Innokentii Zhdanov, and Nikolai Skorobogatko. "Vision System for AGI: Problems and Directions." In Artificial General Intelligence. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97676-1_18.

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Ballard, Dana, and Nathan Sprague. "Modeling the Brain’s Operating System." In Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_34.

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Grittani, Gianmichele, Gilberto Gallinelli, and José Ramŕez. "FutBot: A Vision System for Robotic Soccer." In Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44399-1_36.

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Nogueira, Sergio, Yassine Ruichek, Franck Gechter, Abderrafiaa Koukam, and Francois Charpillet. "An Artificial-Vision Based Environment Perception System." In Advances for In-Vehicle and Mobile Systems. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-45976-9_4.

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Antunes, Cláudia, and J. P. Martins. "Knowledge Acquisition System to Support Low Vision Consultation." In Artificial Intelligence in Medicine. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48229-6_46.

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Li, Zhong-rong, and Da-peng Zhang. "An Intelligent Vision System for Robot." In Applications of Artificial Intelligence in Engineering Problems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-21626-2_10.

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Kim, Jin Whan, Hyuk Gyu Cho, and Eui Young Cha. "A Study on Enhanced Dynamic Signature Verification for the Embedded System." In Brain, Vision, and Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123_42.

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Sehairi, Kamal, Cherrad Benbouchama, El Houari Kobzili, and Fatima Chouireb. "Real-Time Implementation of Human Action Recognition System Based on Motion Analysis." In Artificial Intelligence and Computer Vision. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46245-5_9.

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Park, Kang Ryoung. "Vision-Based Facial and Eye Gaze Tracking System." In KI 2004: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30221-6_34.

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Conference papers on the topic "Artificial vision system"

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Andes, David K., James C. Witham, and Michael D. Miles. "Missileborne artificial vision system (MAVIS)." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Steven K. Rogers and Dennis W. Ruck. SPIE, 1994. http://dx.doi.org/10.1117/12.169965.

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Van Eenwyk, Jonathan, Arvin Agah, and Gerhard W. Cibis. "Automated human vision assessment using computer vision and artificial intelligence." In 2008 IEEE International Conference on System of Systems Engineering (SoSE). IEEE, 2008. http://dx.doi.org/10.1109/sysose.2008.4724184.

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Sereno, Juan Esteban, Freddy Bolanos, and Monica Vallejo. "Artificial vision system for differential multiples robots." In 2016 XII Congreso de Tecnologia, Aprendizaje y Ensenanza de la Electronica (XII Technologies Applied to Electronics Teaching Conference) (TAEE). IEEE, 2016. http://dx.doi.org/10.1109/taee.2016.7528379.

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Prabagar, Ajanthwin, N. Sri Madhavaraja, S. Arunmozhi, and K. Suresh Manic. "Artificial Vision Based Smart Urban Parking System." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2021. http://dx.doi.org/10.1109/icscan53069.2021.9526383.

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Ramadoss, Balaji, Jin-Choon Ng, Andreas Koschan, and Mongi A. Abidi. "Scene inspection using a robotic imaging system." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515092.

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Heger, Thomas, and Madhukar C. Pandit. "Optical wear assessment system for grinding tools." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515158.

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Weiss, Michael, Arnulf Schiller, Paul O'Leary, Ewald Fauster, and Peter Schalk. "Development of a distributed vision system for industrial conditions." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.514944.

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Kohler, Sophie, and Ernest Hirsch. "Cognitive intelligent sensory system for vision-based quality control." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515118.

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Turner, Chris, Hamed Sari-Sarraf, Eric F. Hequet, and Sunho Lee. "Preliminary validation of a fabric smoothness assessment system." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.514953.

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Yamaguchi, Tsuyoshi, Masafumi Tominaga, and Hiroyasu Koshimizu. "Interactive facial caricaturing system based on eye camera." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515136.

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