Computer vision is a constantly growing branch of optics with a wide range of notable applications in industry and engineering. This book provides a concise introduction to computer vision for optical researchers and scientists. Building from the optical foundations of image processing and the science behind camera sensors, Optics and Computer Vision equips the reader to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Python® software to show real, implemented applications in industry. By surveying the fundamentals of the field, exploring the mathematical theories that make computer vision possible, and providing reproducible examples of practical applications, this book provides a clear and pedagogical introduction to the field. Ideal for industry engineers with projects related to computer vision, it also makes a good reference text for academics, students and other researchers working at the intersection of Artificial Intelligence and Optics.

Rafael G. González-Acuña studied a master's degree in optomechatronics at the Optics Research Center, A.C. He is currently studying his PhD at the Tecnológico de Monterrey. Rafael has been awarded the 2019 Optical Design and Engineering Scholarship by SPIE and is the co-author of two IOP books: Analytical lens design and Stigmatic Optics.

Héctor A. Chaparro Romo is an electronic engineer from Universidad Autonoma Metropolitana. He is the co-author of the IOP books: Analytical lens design and Stigmatic Optics.

Israel Melendez-Montoya is a physicist from Universidad Autónoma de Nuevo León with master studies in optics from Tecnológico de Monterrey. Israel has experimented in developing applications connecting optics and computer vision in multiple industrial projects.