Computer Analysis and Perception (Vol. 1): Visual Signals

This volume delves into the intricate relationship between visual signals and computer analysis, spearheaded by the expertise of Ching Y. Suen. Readers are invited on a journey that explores the fundamental principles of visual perception and the technological advancements in computer vision. The work presents a thorough examination of how machines interpret and analyze visual data, bridging the gap between human cognition and artificial intelligence.

As the first installment in a series, it lays the groundwork for understanding the complexities of visual information processing. The author combines rigorous research with practical applications, aiming to equip readers with both theoretical insights and actionable knowledge in the realm of computer analytics and perception. This exploration is invaluable for researchers, students, and professionals aspiring to enhance their understanding of visual signals in computational contexts.