High-Dimensional and Low-Quality Visual Information Processing

From Structured Sensing and Understanding

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book High-Dimensional and Low-Quality Visual Information Processing by Yue Deng, Springer Berlin Heidelberg
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Author: Yue Deng ISBN: 9783662445266
Publisher: Springer Berlin Heidelberg Publication: September 4, 2014
Imprint: Springer Language: English
Author: Yue Deng
ISBN: 9783662445266
Publisher: Springer Berlin Heidelberg
Publication: September 4, 2014
Imprint: Springer
Language: English

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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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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