<p><b>Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring</b></p><p>This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM). It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice.</p><p><i>Computer Vision for Structural Dynamics and Health Monitoring</i> presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template
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