Overview

Computer vision enables machines to interpret and process visual information, powering innovations in automation, healthcare, robotics, and security. Understanding its foundations provides insight into one of the most dynamic areas of artificial intelligence. Foundations of Computer Vision covers image processing, feature extraction, object detection, and pattern recognition techniques. The book discusses deep learning models such as convolutional neural networks and their applications in real-world scenarios. It also explores challenges in image understanding and ethical considerations in AI vision systems. By blending theoretical and applied perspectives, it offers a comprehensive introduction to the science behind visual intelligence.

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9781779568847

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Author Information

Mauricio Alberto Ortega-Ruíz is an Electrical Engineering graduated from UNAM at Mexico, with experience in technical support for electronics equipment, field service and training services. This experience accomplishes instrumentation equipment, photo-lab and automation industry. Mauricio's academic journey includes a M. Sc. in signal processing at the Imperial College of Science Technology and Medicine and a PhD at City University of London, both are UK Universities. His main Research interest is in AI applications for medical imaging analysis and particularly in digital histopathology for breast cancer grading, he has published Scientific papers on this topic and participated in the Automated Gleason Grand Challenge 2022 in which he developed Deep Learning methods for Prostate cancer image grading and obtained the 10th place in the final ranking. He is cofounder of DigPatho, a research group for the LATAM region. Besides his passion for Research in the medical image field he has also demonstrated interest in signal processing, and other imaging applications. He dedicates time to culture and music, and as an amateur violist, he was member of the Imperial College Chamber orchestra during his masters.

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