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Books on the topic 'Visión artificial'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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1

Gabel, Veit Peter, ed. Artificial Vision. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41876-6.

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2

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

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3

Lu, Huimin, and Yujie Li, eds. Artificial Intelligence and Computer Vision. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46245-5.

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4

De Gregorio, Massimo, Vito Di Maio, Maria Frucci, and Carlo Musio, eds. Brain, Vision, and Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11565123.

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5

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

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6

Zhou, Yi-Tong, and Rama Chellappa. Artificial Neural Networks for Computer Vision. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2834-9.

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7

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

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8

Rama, Chellappa, ed. Artificial neural networks for computer vision. New York: Springer-Verlag, 1992.

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9

J, Nilsson Nils. Artificial Intelligence: A New Synthesis. Burlington: Elsevier Science, 1998.

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10

Ayache, Nicholas. Artificial vision for mobile robots: Stereo vision and multisensory perception. Cambridge, Mass: MIT Press, 1991.

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11

Mele, Francesco, Giuliana Ramella, Silvia Santillo, and Francesco Ventriglia, eds. Advances in Brain, Vision, and Artificial Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75555-5.

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12

Rosandich, Ryan G. Intelligent visual inspection: Using artificial neural networks. London: Chapman & Hall, 1997.

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13

Ansari, Shamshad. Building Computer Vision Applications Using Artificial Neural Networks. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5887-3.

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14

Nawrat, Aleksander. Vision Based Systemsfor UAV Applications. Heidelberg: Springer International Publishing, 2013.

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15

Moini, Alireza. Vision Chips. Boston, MA: Springer US, 2000.

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16

Panigrahi, S. Artificial Intelligence for Biology and Agriculture. Dordrecht: Springer Netherlands, 1998.

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17

Conference on Artificial Intelligence Applications. (4th 1988 San Diego, Calif.). The Fourth Conference on Artificial Intelligence Applications: Proceedings. Washington, D.C: Computer Society Press of the IEEE, 1988.

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18

Conference on Artificial Intelligence Applications. (6th 1990 Santa Barbara, Calif.). The Sixth Conference on Artificial Intelligence Applications: Proceedings. Los Alamitos, Calif: IEEE Computer Society Press, 1990.

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19

Conference on Artificial Intelligence Applications. (5th 1989 Miami, Fla.). Proceedings the Fifth Conference on Artificial Intelligence Applications. Washington, D.C: IEEE Computer Society Press, 1989.

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20

Conférence internationale sur le contrôle qualité par vision artificielle (1997 Le Creusot, France). QCAV 97. Toulouse: Cépaduès-éd., 1997.

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21

Kanade, Takeo. Three-Dimensional Machine Vision. Boston, MA: Springer US, 1987.

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22

1962-, Gelbukh Alexander, Albornoz Álvaro de, and Terashima-Marín Hugo, eds. MICAI 2005: Advances in artificial intelligence : 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005 : proceedings. Berlin: Springer, 2005.

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23

1962-, Gelbukh Alexander, and Morales Angel Fernando Kuri, eds. MICAI 2007: Advances in artificial intelligence : 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007 : proceedings. Berlin: Springer, 2007.

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24

Vernon, David. Advanced image understanding and autonomous systems. Dublin: Trinity College, Dublin, 1992.

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25

Costin, Mihaela. De la procesarea de imagini către vederea artificială: Progrese cognitive. Iași: Institutul European, 2013.

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26

Lowrie, James. Autonomous land vehicle. Fort Belvoir, Va: U.S. Army Engineer Topographic Laboratories, 1986.

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27

Barnes, Nick. Knowledge-Based Vision-Guided Robots. Heidelberg: Physica-Verlag HD, 2002.

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28

Cross, Nicola. An attentional what-where vision system using artificial neural networks. [s.l.]: typescript, 1999.

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29

Cipolla, Roberto. Machine Learning for Computer Vision. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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30

School on Computer Vision with the Elements of Artificial Intelligence (1989 Ma̦dralin, Poland). Lectures notes on computer vision and artificial intelligence: Lectures held at the School on Computer Vision with the Elements of Artificial Intelligence, Ma̦dralin near Warsaw, 24-29 April 1989. Wrocław: Ossolineum Pub. House of the Polish Academy of Sciences, 1990.

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31

Saitta, Lorenza. Abstraction in Artificial Intelligence and Complex Systems. New York, NY: Springer New York, 2013.

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32

Pomerleau, Dean A. Neural Network Perception for Mobile Robot Guidance. Boston, MA: Springer US, 1993.

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33

Leonard, John J. Directed Sonar Sensing for Mobile Robot Navigation. Boston, MA: Springer US, 1992.

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34

Coello, Carlos A. Coello. MICAI 2002: Advances in Artificial Intelligence: Second Mexican International Conference on Artificial Intelligence Mérida, Yucatán, Mexico, April 22 26, 2002 Proceedings. Berlin: Springer-Verlag Berlin Heidelberg, 2002.

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35

Ríos Figueroa, Homero Vladimir. Visión artificial. Universidad Veracruzana, 2007. http://dx.doi.org/10.25009/uv.292.737.

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36

Vega Mosquera, Cristian Alexander, Camilo Alejandro Corchuelo Rodriguez, and Luz Marina Páez. Observatorio de cienciometría USTA. Patent landscapes reports. Visión Artificial. Universidad Santo Tomas, 2021. http://dx.doi.org/10.15332/dt.inv.2021.02369.

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37

1945-, Orban Guy A., and Hagel H. H, eds. Artificial and biological vision systems. Berlin: Springer-Verlag, 1992.

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38

Orban, Guy A., and Hans-Hellmut Nagel. Artificial and Biological Vision Systems. Springer, 2011.

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39

Aleksander, I. Artificial Vision for Robots. Springer, 2012.

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40

Aleksander, I. Artificial Vision for Robots. Springer, 2012.

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41

Rabie, Tamer F. Animat vision: Active vision in artificial animals. 1999.

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42

Gabel, Veit Peter. Artificial Vision: A Clinical Guide. Springer, 2016.

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43

Gabel, Veit Peter. Artificial Vision: A Clinical Guide. Springer, 2018.

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44

Massimo De Gregorio,Vito Di Maio,Maria Frucci. Brain, Vision, and Artificial Intelligence. Springer, 2008.

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45

Lu, Huimin, and Yujie Li. Artificial Intelligence and Computer Vision. Springer, 2016.

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46

Lu, Huimin, and Yujie Li. Artificial Intelligence and Computer Vision. Springer, 2018.

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47

Artificial Neural Networks for Computer Vision. Springer, 2014.

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48

L, Boyer Kim, and Sarkar Sudeep, eds. Perceptual organization for artificial vision systems. Boston: Kluwer Academic, 2000.

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49

Abásolo Guerrero, María José, Cristina Manresa Yee, Ramón Más Sansó, and Marcelo Vénere. Realidad virtual y realidad aumentada. Editorial de la Universidad Nacional de La Plata (EDULP), 2011. http://dx.doi.org/10.35537/10915/18399.

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Abstract:
El presente libro es el resultado de la docencia e investigación en las áreas de Realidad Virtual, Realidad Aumentada e Interfaces basadas en visión, llevadas a cabo en tres instituciones universitarias, dos de ellas de Argentina –Universidad Nacional de La Plata (UNLP) y Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN)– y una española –Universidad de las Islas Baleares (UIB)–. El texto se estructura en dos partes principales: la primera parte relacionada con Realidad Virtual (RV) y Realidad Aumentada (RA) y la segunda parte relacionada con las denominadas Interfaces avanzadas o Basadas en Visión (VBI). La primera parte consta de tres capítulos. El capítulo 1 presenta una introducción a conceptos y tecnología compartidos por las aplicaciones de realidad virtual y realidad aumentada. El capítulo 2 presenta los desafíos actuales para el desarrollo de simuladores de entrenamiento que utilizan realidad virtual, y describe los simuladores desarrollados por el Instituto Pladema de la UNICEN. El capítulo 3 presenta el tema Realidad Aumentada, sus fundamentos, algoritmos de tracking y librerías utilizadas para el desarrollo de aplicaciones. Lo incluido en este capítulo es utilizado como material de docencia en un curso del Doctorado de Ciencias Informáticas de la UNLP, dictado en la actualidad por una docente de dicha institución e investigadora del III-LIDI. La segunda parte, Interfaces Avanzadas, consta de dos capítulos. El material incluido es resultado de la docencia e investigación de dos investigadores de la Unidad de Gráficos y Visión por Ordenador e Inteligencia Artificial de la UIB. El capítulo 4 realiza una introducción a las interfaces basadas en visión, así como explica el proyecto SINA desarrollado en la UIB. El capítulo 5 presenta los sistemas de interacción multitáctil, y además explica un caso de estudio del diseño de una mesa multitáctil.
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50

Ken, Stonecipher, ed. Industrial Robotics, Machine Vision, and Artificial Intelligence. Indianapolis, IN: Howard W. Sams & Co., 1989.

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