This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.

As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and

A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.

Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectr

Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropri