Foundations of Computer Vision: Concepts, Algorithms and Applications

Computer vision stands as one of the most transformative fields of modern technology, influencing diverse domains such as autonomous vehicles, medical diagnostics, augmented reality, and industrial automation. As machines increasingly gain the ability to interpret and understand visual data, the potential for groundbreaking innovation and profound societal impact grows exponentially. The inspiration for this book, Foundations of Computer Vision: Concepts, Algorithms, and Applications, stemmed from a recognized need for a comprehensive resource that harmonizes theoretical depth with practical insights. While numerous excellent texts explore specialized topics or emphasize algorithms alone, our aim was to bridge this divide offering a resource that elucidates core concepts, simplifies intricate algorithms, and demonstrates their application in solving real-world challenges. This book represents the culmination of years of teaching, research, and collaborative efforts. We extend our heartfelt gratitude to our students and colleagues, whose thought-provoking questions, constructive insights, and invaluable feedback have enriched every aspect of this work. Designed to cater to a diverse audience including undergraduate and graduate students, researchers, and professionals - this book aspires to provide a unified perspective of the field. We hope it equips readers with the foundational knowledge and practical skills necessary to navigate and contribute to the ever-evolving discipline of computer vision.