High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding /

This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Deng, Yue (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Signal processing.
Computer vision.
Data structures (Computer science).
Information theory.
Data mining.
Signal, Speech and Image Processing .
Computer Vision.
Data Structures and Information Theory.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Descripción
Sumario:This thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing.
Descripción Física:XV, 99 p. 23 illus., 18 illus. in color. online resource.
ISBN:9783662445266
ISSN:2190-5061

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