Brain-Inspired Intelligence and Visual Perception

The Brain and Machine Eyes

Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Brain-Inspired Intelligence and Visual Perception by Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang, Springer Singapore
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Author: Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang ISBN: 9789811335495
Publisher: Springer Singapore Publication: February 14, 2019
Imprint: Springer Language: English
Author: Wenfeng Wang, Xiangyang Deng, Liang Ding, Limin Zhang
ISBN: 9789811335495
Publisher: Springer Singapore
Publication: February 14, 2019
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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