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High-Dimensional and Low-Quality Visual Information Processing : From Structured Sensing and Understanding
by Yue Deng
Overview
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 item is Non-Returnable
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Details
- ISBN-13: 9783662525630
- ISBN-10: 3662525631
- Publisher: Springer
- Publish Date: September 2016
- Dimensions: 9.21 x 6.14 x 0.24 inches
- Shipping Weight: 0.38 pounds
- Page Count: 99
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