High-dimensional and low-quality visual information processing

Autori

• Yue Deng

Parametri

• 99 pagine
• 4 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

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.

Lingua: Inglese

Pubblicato: 2015

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