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.
ISBN: | 9783662445259 |
Publication date: | 18th September 2014 |
Author: | Yue Deng |
Publisher: | Springer an imprint of Springer Berlin Heidelberg |
Format: | Hardback |
Pagination: | 99 pages |
Series: | Springer Theses |
Genres: |
Electronics engineering Expert systems / knowledge-based systems Computer vision Digital signal processing (DSP) Algorithms and data structures Data mining Information theory |