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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.
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