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

• Main Author: Deng, Yue (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: Engineering.; Data structures (Computer science).; Data mining.; Image processing.; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Data Structures, Cryptology and Information Theory.; Data Mining and Knowledge Discovery.
• Physical Description: XV, 99 p. 23 illus., 18 illus. in color. online resource.
• ISBN: 9783662445266
• ISSN: 2190-5053

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.