High-Dimensional and Low-Quality Visual Information Processing
From Structured Sensing and Understanding
Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
| 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.
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.
