Computer and machine vision [recurso electrónico] : theory, algorithms, practicalities / E.R. Davies.

Por: Davies, E. RTipo de material: TextoTextoDetalles de publicación: Waltham, Mass. : Elsevier, 2012Edición: 4th edDescripción: 1 online resource (xxxvi, 871 pages, [4] pages of plates) : illustrations (some color), portraitTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780123869081 (electronic bk.); 0123869080 (electronic bk.); 9780123869913 (electronic bk.); 0123869919 (electronic bk.)Tema(s): Computer vision | Information visualization | COMPUTERS -- Computer Vision & Pattern Recognition | Computer vision | Information visualizationGénero/Forma: Electronic books.Clasificación CDD: 006.3/7 Clasificación LoC:TA1634 | .D38 2012ebRecursos en línea: Libro electrónico ScienceDirectTexto
Contenidos:
pt. 1. Low-level vision -- pt. 2. Intermediate-level vision -- pt. 3. 3-D vision and motion -- pt. 4. Toward real-time pattern recognition systems.
Resumen: Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R & D engineers working in this vibrant subject. Key features include.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos TA1634 .D38 2012 EB (Browse shelf(Abre debajo)) 1 No para préstamo 380599-2001

Includes bibliographical references and indexes.

pt. 1. Low-level vision -- pt. 2. Intermediate-level vision -- pt. 3. 3-D vision and motion -- pt. 4. Toward real-time pattern recognition systems.

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R & D engineers working in this vibrant subject. Key features include.

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