Computer vision is a multidisciplinary field focused on how computers acquire, store, interpret, and understand digital images and videos, utilizing artificial intelligence techniques such as neural networks, machine learning, and deep learning. These technologies are applied in a wide range of areas, including image retrieval and classification, transportation monitoring, medical diagnostics, and aerial surveillance.
Authored by a team of international experts, this edited volume presents the latest research in computer vision and recognition systems, covering everything from foundational concepts and methodologies to advanced technologies and real-world applications. Topics include object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic camera monitoring, vehicle control, and aerial remote sensing imagery.
This book is a valuable resource for researchers, scientists, and engineers in both industry and academia working in computer vision, machine vision, image processing, recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It also serves as an excellent course reference for advanced students and lecturers in these fields.
