ENGLISH

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

By Yue Deng (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2015
ISBN
978-3-662-44525-9, 978-3-662-44526-6
DOI
10.1007/978-3-662-44526-6
Language
english
Format
PDF
Filesize
4 MB (3933957 bytes)
Series
Springer Theses
Edition
1
Pages
99\108
Time added
2014-11-10 20:00:00
Cryptology and Information Theory; Data Mining andImage and Speech Processing; Image Processing andSignal

Description

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.

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