High-Dimensional and Low-Quality Visual Information Processing: From Structured Sensing and Understanding - Yue Deng
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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 ... Full description
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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.
More Information
| Author | Yue Deng |
|---|---|
| Publisher | Springer Berlin Heidelberg |
| Series | Springer Theses |
| Release year | 2014 |
| Cover type | Hardcover |
| EAN | 9783662445259 |