From images to surfaces : a computational study of the human early visual system
The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations...
Ausführliche Beschreibung
Autor*in: |
Grimson, William Eric Leifur [verfasserIn] |
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Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Cambridge, Mass: MIT Press ; c1981 |
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Schlagwörter: |
Binocular vision, Data processing |
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Anmerkung: |
Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes |
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Umfang: |
Online-Ressource (274 p) ; ill |
Reproduktion: |
Online-Ausg. |
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Reihe: |
The MIT Press series in artificial intelligence Artificial intelligence series |
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Links: | |
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ISBN: |
0-262-25627-4 0-262-07083-9 0-262-57185-4 978-0-262-25627-8 978-0-262-07083-6 978-0-262-57185-2 |
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allfields |
0262256274 electronic bk. 0-262-25627-4 0262070839 0-262-07083-9 0262571854 0-262-57185-4 9780262256278 : electronic bk. 978-0-262-25627-8 9780262070836 978-0-262-07083-6 9780262571852 978-0-262-57185-2 (DE-627)816667292 (DE-576)9816667290 (DE-599)GBV816667292 (OCoLC)827307435 (MITPRESS)6267272 (EBP)055117945 DE-627 ger DE-627 rakwb eng XD-US QP487 WW 103 612/.84/02854 22 152.1/4/02854 19 Grimson, William Eric Leifur verfasserin aut From images to surfaces a computational study of the human early visual system William Eric Leifur Grimson Cambridge, Mass MIT Press c1981 Online-Ressource (274 p) ill Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The MIT Press series in artificial intelligence Artificial intelligence series Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Online-Ausg. Computer graphics Binocular vision Data processing Vision, Ocular physiology Visual Perception physiology Binocular vision ; Data processing Computer graphics Vision ; Physiology Visual perception ; Physiology 9780262571852 Print version From images to surfaces (DLC)81013751 https://ieeexplore.ieee.org/book/6267272 X:MITPRESS Verlag IEEE Xplore lizenzpflichtig Volltext http://www.gbv.de/dms/bowker/toc/9780262571852.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 612/.84/02854 045F 152.1/4/02854 22 01 0018 3848470233 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 1521012695 olr-MIT i z 31-01-15 100 01 3100 4472463776 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011216852 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3740753021 00 --%%-- --%%-- p --%%-- Campuslizenz l01 18-08-20 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/6267272 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/6267272 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/6267272 100 01 3100 https://ieeexplore.ieee.org/book/6267272 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/6267272 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/6267272 2015 01 DE-93 https://ieeexplore.ieee.org/book/6267272 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 23 01 0830 2015.01.31 370 01 4370 2021.12.01 |
spelling |
0262256274 electronic bk. 0-262-25627-4 0262070839 0-262-07083-9 0262571854 0-262-57185-4 9780262256278 : electronic bk. 978-0-262-25627-8 9780262070836 978-0-262-07083-6 9780262571852 978-0-262-57185-2 (DE-627)816667292 (DE-576)9816667290 (DE-599)GBV816667292 (OCoLC)827307435 (MITPRESS)6267272 (EBP)055117945 DE-627 ger DE-627 rakwb eng XD-US QP487 WW 103 612/.84/02854 22 152.1/4/02854 19 Grimson, William Eric Leifur verfasserin aut From images to surfaces a computational study of the human early visual system William Eric Leifur Grimson Cambridge, Mass MIT Press c1981 Online-Ressource (274 p) ill Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The MIT Press series in artificial intelligence Artificial intelligence series Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Online-Ausg. Computer graphics Binocular vision Data processing Vision, Ocular physiology Visual Perception physiology Binocular vision ; Data processing Computer graphics Vision ; Physiology Visual perception ; Physiology 9780262571852 Print version From images to surfaces (DLC)81013751 https://ieeexplore.ieee.org/book/6267272 X:MITPRESS Verlag IEEE Xplore lizenzpflichtig Volltext http://www.gbv.de/dms/bowker/toc/9780262571852.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 612/.84/02854 045F 152.1/4/02854 22 01 0018 3848470233 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 1521012695 olr-MIT i z 31-01-15 100 01 3100 4472463776 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011216852 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3740753021 00 --%%-- --%%-- p --%%-- Campuslizenz l01 18-08-20 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/6267272 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/6267272 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/6267272 100 01 3100 https://ieeexplore.ieee.org/book/6267272 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/6267272 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/6267272 2015 01 DE-93 https://ieeexplore.ieee.org/book/6267272 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 23 01 0830 2015.01.31 370 01 4370 2021.12.01 |
allfields_unstemmed |
0262256274 electronic bk. 0-262-25627-4 0262070839 0-262-07083-9 0262571854 0-262-57185-4 9780262256278 : electronic bk. 978-0-262-25627-8 9780262070836 978-0-262-07083-6 9780262571852 978-0-262-57185-2 (DE-627)816667292 (DE-576)9816667290 (DE-599)GBV816667292 (OCoLC)827307435 (MITPRESS)6267272 (EBP)055117945 DE-627 ger DE-627 rakwb eng XD-US QP487 WW 103 612/.84/02854 22 152.1/4/02854 19 Grimson, William Eric Leifur verfasserin aut From images to surfaces a computational study of the human early visual system William Eric Leifur Grimson Cambridge, Mass MIT Press c1981 Online-Ressource (274 p) ill Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The MIT Press series in artificial intelligence Artificial intelligence series Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Online-Ausg. Computer graphics Binocular vision Data processing Vision, Ocular physiology Visual Perception physiology Binocular vision ; Data processing Computer graphics Vision ; Physiology Visual perception ; Physiology 9780262571852 Print version From images to surfaces (DLC)81013751 https://ieeexplore.ieee.org/book/6267272 X:MITPRESS Verlag IEEE Xplore lizenzpflichtig Volltext http://www.gbv.de/dms/bowker/toc/9780262571852.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 612/.84/02854 045F 152.1/4/02854 22 01 0018 3848470233 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 1521012695 olr-MIT i z 31-01-15 100 01 3100 4472463776 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011216852 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3740753021 00 --%%-- --%%-- p --%%-- Campuslizenz l01 18-08-20 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/6267272 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/6267272 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/6267272 100 01 3100 https://ieeexplore.ieee.org/book/6267272 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/6267272 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/6267272 2015 01 DE-93 https://ieeexplore.ieee.org/book/6267272 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 23 01 0830 2015.01.31 370 01 4370 2021.12.01 |
allfieldsGer |
0262256274 electronic bk. 0-262-25627-4 0262070839 0-262-07083-9 0262571854 0-262-57185-4 9780262256278 : electronic bk. 978-0-262-25627-8 9780262070836 978-0-262-07083-6 9780262571852 978-0-262-57185-2 (DE-627)816667292 (DE-576)9816667290 (DE-599)GBV816667292 (OCoLC)827307435 (MITPRESS)6267272 (EBP)055117945 DE-627 ger DE-627 rakwb eng XD-US QP487 WW 103 612/.84/02854 22 152.1/4/02854 19 Grimson, William Eric Leifur verfasserin aut From images to surfaces a computational study of the human early visual system William Eric Leifur Grimson Cambridge, Mass MIT Press c1981 Online-Ressource (274 p) ill Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The MIT Press series in artificial intelligence Artificial intelligence series Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Online-Ausg. Computer graphics Binocular vision Data processing Vision, Ocular physiology Visual Perception physiology Binocular vision ; Data processing Computer graphics Vision ; Physiology Visual perception ; Physiology 9780262571852 Print version From images to surfaces (DLC)81013751 https://ieeexplore.ieee.org/book/6267272 X:MITPRESS Verlag IEEE Xplore lizenzpflichtig Volltext http://www.gbv.de/dms/bowker/toc/9780262571852.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 612/.84/02854 045F 152.1/4/02854 22 01 0018 3848470233 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 1521012695 olr-MIT i z 31-01-15 100 01 3100 4472463776 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011216852 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3740753021 00 --%%-- --%%-- p --%%-- Campuslizenz l01 18-08-20 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/6267272 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/6267272 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/6267272 100 01 3100 https://ieeexplore.ieee.org/book/6267272 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/6267272 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/6267272 2015 01 DE-93 https://ieeexplore.ieee.org/book/6267272 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 23 01 0830 2015.01.31 370 01 4370 2021.12.01 |
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0262256274 electronic bk. 0-262-25627-4 0262070839 0-262-07083-9 0262571854 0-262-57185-4 9780262256278 : electronic bk. 978-0-262-25627-8 9780262070836 978-0-262-07083-6 9780262571852 978-0-262-57185-2 (DE-627)816667292 (DE-576)9816667290 (DE-599)GBV816667292 (OCoLC)827307435 (MITPRESS)6267272 (EBP)055117945 DE-627 ger DE-627 rakwb eng XD-US QP487 WW 103 612/.84/02854 22 152.1/4/02854 19 Grimson, William Eric Leifur verfasserin aut From images to surfaces a computational study of the human early visual system William Eric Leifur Grimson Cambridge, Mass MIT Press c1981 Online-Ressource (274 p) ill Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The MIT Press series in artificial intelligence Artificial intelligence series Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Online-Ausg. Computer graphics Binocular vision Data processing Vision, Ocular physiology Visual Perception physiology Binocular vision ; Data processing Computer graphics Vision ; Physiology Visual perception ; Physiology 9780262571852 Print version From images to surfaces (DLC)81013751 https://ieeexplore.ieee.org/book/6267272 X:MITPRESS Verlag IEEE Xplore lizenzpflichtig Volltext http://www.gbv.de/dms/bowker/toc/9780262571852.pdf V:DE-601 X:Bowker pdf/application 2017-02-24 Verlag Inhaltsverzeichnis Inhaltsverzeichnis ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 612/.84/02854 045F 152.1/4/02854 22 01 0018 3848470233 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 1521012695 olr-MIT i z 31-01-15 100 01 3100 4472463776 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011216852 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. 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The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes |
abstractGer |
The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes |
abstract_unstemmed |
The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes.From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit. Based on the author's thesis (Ph. D.--Massachusetts Institute of Technology) Includes bibliographical references (p. [247]-267) Includes indexes |
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From images to surfaces |
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Preface p. ix Theoretical Preliminaries … A Computational Theory of Stereo Vision … The Stereo Implementation … Analysis and Development … The Constraints on Interpolation … The Computational Problem … Constrained Optimization … The Interpolation Algorithm … Analysis and Refinements … Epilogue … Distributions of Zero-Crossings … Zero-Crossing Theorems … Vector Spaces and Norms … Inner Products and Hilbert Spaces … Calculus of Variations … Interpolation Techniques … Bibliography … Index … |
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Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system.In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of specific models from general concepts.This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology.This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. 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