Theory of Information Processing in Visual Perception Systems

Author: Luo Siwei
Publisher:
Publish Date: 2006-02-01
Features: This book discusses the relationship between neural perception and machine learning from both theoretical and applied perspectives. This approach, which starts by simulating human neural patterns to guide machine learning, involves combining theories from neuroscience to explore the ability of computers to process information, holding significant scientific importance. The author strives to present the latest research findings and hot topics in this field, hoping readers, especially young ones, will pay attention to subjects that could bring breakthroughs to computer science. This book can serve as a professional textbook for master's and doctoral students in computer science, signal processing, and related fields, as well as a reference for researchers in neural computing science, image processing, and other fields... The book primarily introduces the human visual perception system, the theoretical foundations of models simulating human visual perception mechanisms, and the models of human perception systems.