Brain-Inspired Intelligence and Visual Perception: The Brain and Machine Eyes

Description

This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP. Front Matter ....Pages i-xiv Introduction of Brain Cognition (Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang)....Pages 1-16 The Vision–Brain Hypothesis (Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang)....Pages 17-39 Pheromone Accumulation and Iteration (Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang)....Pages 41-68 Neural Cognitive Computing Mechanisms (Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang)....Pages 69-103 Integration and Scheduling of Core Modules (Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang)....Pages 105-141 Brain-Inspired Perception, Motion and Control (Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang)....Pages 143-164 Back Matter ....Pages 165-166