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Books on the topic 'Visual recognition system'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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1

Bastian, Leibe, ed. Visual object recognition. Morgan & Claypool, 2011.

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2

Information routing, correspondence finding, and object recognition in the brain. Springer-Verlag, 2010.

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3

Jinkins, J. Randy, and Claudia da Costa Leite. Neurodiagnostic imaging: Pattern analysis and differential diagnosis. Edited by Jinkins J. Randy and Leite Claudia da Costa. Lippincott-Raven, 1998.

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4

A, Tsihrintzis George, ed. Visual affect recognition. IOS Press, 2010.

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5

Liew, Alan Wee-Chung. Visual speech recognition: Lip segmentation and mapping. Edited by Wang Shilin. Medical Information Science Reference, 2009.

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6

Visual analysis of behaviour: From pixels to semantics. Springer-Verlag New York Inc, 2011.

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7

International Workshop on Visual Form (4th 2001 Capri, Italy). Visual form 2001: 4th International Workshop on Visual Form, IWVF4, Capri, Italy, May 28-30, 2001 : proceedings. Springer, 2001.

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8

Wayne, Cranton, Fihn Mark, and SpringerLink (Online service), eds. Handbook of Visual Display Technology. Springer Berlin Heidelberg, 2012.

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9

Werner, Backhaus, ed. Neuronal coding of perceptual systems: Proceedings of the International School of Biophysics, Casamicciola, Napoli, Italy, 12-17 October 1998. World Scientific, 2001.

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10

Salah, Albert Ali. Human Behavior Understanding: First International Workshop, HBU 2010, Istanbul, Turkey, August 22, 2010. Proceedings. Springer-Verlag Heidelberg, 2010.

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11

Windows speech recognition programming: With Visual Basic and ActiveX voice controls ; exploring Speech API (SAPI) & Software Developer Kit (SDK) for voice input & output enabling of Windows applications. IUniverse, Inc., 2004.

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12

R, Martin Ralph, and SpringerLink (Online service), eds. Computational Visual Media: First International Conference, CVM 2012, Beijing, China, November 8-10, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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13

Richard, Boyle, Parvin Bahram, Koracin Darko, et al., eds. Advances in Visual Computing: 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part I. Springer Berlin Heidelberg, 2012.

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14

Richard, Boyle, Parvin Bahram, Koracin Darko, et al., eds. Advances in Visual Computing: 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part II. Springer Berlin Heidelberg, 2012.

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15

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai da xue chu ban she, 2010.

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16

Shape Understanding System Knowledge Implementation and Learning Studies in Computational Intelligence. Springer, 2012.

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17

Wolfrum, Philipp. Information Routing, Correspondence Finding, and Object Recognition in the Brain. Springer, 2014.

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18

Wolfrum, Philipp. Information Routing, Correspondence Finding, and Object Recognition in the Brain. Springer, 2011.

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19

Neurodiagnostic Imaging: Pattern Analysis and Differential Diagnosis. Lippincott Williams & Wilkins, 1998.

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20

Carlo, Arcelli, Cordella Luigi P, Sanniti di Baja Gabriella, and International Workshop on Visual Form (1st : 1991 : Capri, Italy), eds. Visual form: Analysis and recognition. Plenum Press, 1992.

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21

Franc, Solina, Kropatsch W, Österreichische Arbeitsgruppe für Mustererkennung, and Slovensko društvo za razpoznavanje vzorcev., eds. Visual modules: Proceedings of 19th ÖAGM and 1st SDVR [sic] workshop. R. Oldenbourg, 1995.

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22

Statistical And Geometrical Approaches To Visual Motion Analysis International Dagstuhl Seminar Dagstuhl Castle July 1318 2008 Revised Papers. Springer, 2009.

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23

Pnevmatikakis, Aristodemos, Fotios Talantzis, and Anthony G. Constantinides. Audio Visual Person Tracking: A Practical Approach. World Scientific Publishing Co Pte Ltd, 2011.

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24

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

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25

Handbook Of Visual Display Technology. Springer, 2011.

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26

Schwab, Eileen. Pattern Recognition by Humans and Machines: Visual Perception (Academic Press Series in Cognition and Perception). Academic Press, 1986.

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27

Schwab, Eileen. Pattern Recognition by Humans and Machines: Visual Perception (Academic Press Series in Cognition and Perception). Academic Press, 1986.

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28

Schwab, Eileen. Pattern Recognition by Humans and Machines: Visual Perception (Academic Press Series in Cognition and Perception). Academic Press, 1986.

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29

Schwab, Eileen. Pattern Recognition by Humans and Machines: Visual Perception (Academic Press Series in Cognition and Perception). Academic Press, 1986.

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30

(Editor), Kim L. Boyer, and Sudeep Sarkar (Editor), eds. Perceptual Organization for Artificial Vision Systems (The Springer International Series in Engineering and Computer Science). Springer, 2000.

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31

Research Institute for Advanced Computer Science (U.S.), ed. Some methods of encoding simple visual images for use with a sparse distributed memory, with applications to character recognition. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

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32

Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition). Springer London, 2010.

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33

Peters, James F. Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces. Springer, 2014.

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34

A, Pearlman William, Society of Photo-optical Instrumentation Engineers., and IEEE Circuits and Systems Society., eds. Visual communications and image processing IV: 8-10 November 1989, Philadelphia, Pennsylvania. SPIE--the International Society for Optical Engineering, 1989.

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35

(Editor), Stefano Levialdi, Virginio Cantoni (Editor), Vito Roberto (Editor), Edward J. Powers (Series Editor), Doug Gray (Series Editor), and Richard C. Green (Series Editor), eds. Artificial Vision: Image Description, Recognition, and Communication (Signal Processing and its Applications). Academic Press, 1996.

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36

Matti, Pietikäinen, and Workshop on Texture Analysis in Machine Vision (1999 : University of Oulu, Finland), eds. Texture analysis in machine vision. World Scientific, 2000.

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37

C, Schwab Eileen, and Nusbaum Howard C, eds. Pattern recognition by humans and machines. Academic Press, 1986.

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38

Perceptual Digital Imaging Digital Imaging and Computer Vision. CRC Press, 2012.

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39

Cranton, Wayne, Janglin Chen, and Mark Fihn. Handbook of Visual Display Technology. Springer, 2016.

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40

Cranton, Wayne, Janglin Chen, and Mark Fihn. Handbook of Visual Display Technology. Springer, 2012.

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41

Fujimoto, Kiyoshi. Backscroll Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0065.

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Human vision recognizes the direction of a human, an animal, and objects in translational motion, even when they are displayed in a still position on a screen as filmed by a panning camera and with the background erased. Because there is no clue to relative motion between the object and the background, the recognition relies on a facing direction and/or movements of its internal parts like limbs. Such high-level object-based motion representation is capable of affecting lower-level motion perception. An ambiguous motion pattern is inserted to the screen behind the translating object. Then the pattern appears moving in a direction opposite to that which the object implies. This is called the backscroll illusion, and psychophysical studies were conducted to investigate phenomenal aspects with the hypothesis that the illusion reflects a strategy the visual system adopts in everyday circumstances. The backscroll illusion convincingly demonstrates that natural images contain visual illusions.
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42

Buesching, Christina D., and Theodore Stankowich. Communication amongst the musteloids: signs, signals, and cues. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198759805.003.0005.

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Most intentional communication is intra-specific and benefits both sender and receiver. Typically, the more complex a species’ social system, the more complex is its communication. Because only ca. 10% of musteloid species are truly social, their communication is generally quite basic, while their solitary, nocturnal lifestyle is reflected in a predominance of olfactory signals. This chapter first discusses the properties of different signal modalities (visual, acoustic, olfactory and tactile), and then provides a review of musteloid communication in the context of signal functionality, starting with a section on defensive signals (warning-, alarm-, and distress signals), proceeding to other modes of inter-specific communication, such as eavesdropping on predator cues by smaller prey species (odours increasingly applied in conservation management), before moving on to more specialised intra-specific communication. It discusses resource defence and territorial marking, before concluding with a section on individual advertisement, including recognition of individuals and group-membership, and fitness advertisement.
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43

(Editor), David G. Stork, and Marcus E. Hennecke (Editor), eds. Speechreading by Humans and Machines: Models, Systems, and Applications (NATO ASI Series / Computer and Systems Sciences). Springer, 1996.

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44

G, Stork David, and Hennecke Marcus E, eds. Speechreading by humans and machines: Models, systems, and applications. Springer, 1996.

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45

Stork, David G., and Marcus E. Hennecke. Speechreading by Humans and Machines: Models, Systems, and Applications. Springer, 2010.

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46

(Editor), Stéphane Bres, E. Allen Emerson (Editor), and Robert Laurini (Editor), eds. Visual Information and Information Systems: 8th International Conference, VISUAL 2005, Amsterdam, The Netherlands, July 5, 2005, Revised Selected Papers (Lecture Notes in Computer Science). Springer, 2006.

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47

Han, Shihui. Cultural priming on cognition and underlying brain activity. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198743194.003.0006.

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Chapter 6 examines the effects of cultural priming on cognition and brain activity by reviewing brain imaging evidence that temporary shifts of cultural knowledge systems toward independence or interdependence can significantly modulated brain activities involved in pain-related sensory processing, visual perception, self-face recognition and self-reflection, monetary reward, empathy, and a resting state. These findings provide evidence for a causal relationship between cultural belief/value and functional organization of the human brain. The findings further suggest that functional brain activity is constrained by both the sustained cultural frameworks formulated during long-term cultural experiences and the transient cultural frameworks induced by short-term exposure to cultural values.
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48

Thalmann, Daniel, Xin Lin, Richard Boyle, et al. Advances in Visual Computing: 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part II. Springer, 2019.

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49

Thalmann, Daniel, Xin Lin, Richard Boyle, et al. Advances in Visual Computing: 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part I. Springer, 2019.

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50

Martin, Ralph, and Shi-Min Hu. Computational Visual Media: First International Conference, CVM 2012, Beijing, China, November 8-10, 2012, Proceedings. Springer, 2012.

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