Foundations of Computer Vision

Machines decipher visual data through processing, feature extraction, object detection, and pattern recognition, fueling progress in robotics, healthcare, automation, and security. Deep learning models like convolutional neural networks are examined alongside practical challenges and ethical considerations in AI vision. 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.