The multiple view geometry in computer vision includes 3-D image and 3-D video processing techniques have received increasing interest due to the availability of high-end capturing, processing and rendering devices. Computer vision can define as a set of computational techniques aimed at estimating or making explicit the geometric and dynamic properties of the 3-D world from digital images. The 3-D world is projected onto 2-D acquisition surfaces. During this process, depth information can be lost. Furthermore, the classical 3-D measurement procedures based on photogrammetric causes systematic errors at strong curved surfaces or steps in surfaces (depth discontinuities problem). The challenges arise also from the foreshortening in one view of the stereo images, that occurs when the measured object have depth variation with the direction of the baseline. we demonstrate a theory of modeling the physical effects of perspective distortion in stereo vision systems. The proposed model is based on local spatial frequency representation and phase-difference-based technique as a widespread method for depth and optical flow estimation due to its superior performance.
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The author received his MSc degree in Computer science in 1999 and his PhD in Computer science from Institute of IESK, Otto-von-Guericke University, Magdeburg, Germany 2008. He has been assistant professor at Faculty of Computers & Information, Menoufia University, Egypt. His research interests are image processing, computer vision.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The multiple view geometry in computer vision includes 3-D image and 3-D video processing techniques have received increasing interest due to the availability of high-end capturing, processing and rendering devices. Computer vision can define as a set of computational techniques aimed at estimating or making explicit the geometric and dynamic properties of the 3-D world from digital images. The 3-D world is projected onto 2-D acquisition surfaces. During this process, depth information can be lost. Furthermore, the classical 3-D measurement procedures based on photogrammetric causes systematic errors at strong curved surfaces or steps in surfaces (depth discontinuities problem). The challenges arise also from the foreshortening in one view of the stereo images, that occurs when the measured object have depth variation with the direction of the baseline. we demonstrate a theory of modeling the physical effects of perspective distortion in stereo vision systems. The proposed model is based on local spatial frequency representation and phase-difference-based technique as a widespread method for depth and optical flow estimation due to its superior performance. 160 pp. Englisch. Bestandsnummer des Verkäufers 9783848431489
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: El-etriby SherifThe author received his MSc degree in Computer science in 1999 and his PhD in Computer science from Institute of IESK, Otto-von-Guericke University, Magdeburg, Germany 2008. He has been assistant professor at Faculty . Bestandsnummer des Verkäufers 5521699
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Taschenbuch. Zustand: Neu. 3-D Surface Reconstruction in Spatial Frequency Domain | Sherif El-etriby (u. a.) | Taschenbuch | 160 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783848431489 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105435324
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The multiple view geometry in computer vision includes 3-D image and 3-D video processing techniques have received increasing interest due to the availability of high-end capturing, processing and rendering devices. Computer vision can define as a set of computational techniques aimed at estimating or making explicit the geometric and dynamic properties of the 3-D world from digital images. The 3-D world is projected onto 2-D acquisition surfaces. During this process, depth information can be lost. Furthermore, the classical 3-D measurement procedures based on photogrammetric causes systematic errors at strong curved surfaces or steps in surfaces (depth discontinuities problem). The challenges arise also from the foreshortening in one view of the stereo images, that occurs when the measured object have depth variation with the direction of the baseline. we demonstrate a theory of modeling the physical effects of perspective distortion in stereo vision systems. The proposed model is based on local spatial frequency representation and phase-difference-based technique as a widespread method for depth and optical flow estimation due to its superior performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Bestandsnummer des Verkäufers 9783848431489
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The multiple view geometry in computer vision includes 3-D image and 3-D video processing techniques have received increasing interest due to the availability of high-end capturing, processing and rendering devices. Computer vision can define as a set of computational techniques aimed at estimating or making explicit the geometric and dynamic properties of the 3-D world from digital images. The 3-D world is projected onto 2-D acquisition surfaces. During this process, depth information can be lost. Furthermore, the classical 3-D measurement procedures based on photogrammetric causes systematic errors at strong curved surfaces or steps in surfaces (depth discontinuities problem). The challenges arise also from the foreshortening in one view of the stereo images, that occurs when the measured object have depth variation with the direction of the baseline. we demonstrate a theory of modeling the physical effects of perspective distortion in stereo vision systems. The proposed model is based on local spatial frequency representation and phase-difference-based technique as a widespread method for depth and optical flow estimation due to its superior performance. Bestandsnummer des Verkäufers 9783848431489
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