Image of High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding
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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, 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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Series Title
-
Call Number
004 DEN h
Publisher
: .,
Collation
978-3-662-44525-9
Language
English
ISBN/ISSN
978-3-662-44525-9
Classification
004
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Signal
Specific Detail Info
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Statement of Responsibility
Other Information
Cataloger
Khusnun
Source
-
Validator
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-
Journal Volume
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