A promising route to neuromorphic vision
A promising route to neuromorphic vision作者机构：Electrical Engineering and Computer Sciences DepartmentUniversity of California
出 版 物：《National Science Review》 (国家科学评论(英文版))
年 卷 期：2021年第8卷第2期
页 面：9-10页
核心收录：
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
摘 要：The human vision system has a very strong capability in perceiving surroundings. Such visual perception starts in the retina, which receives and preprocesses the visual input in the form of light, and ends up with high-level processing in the visual cortex of the brain(Fig. 1 a). As such, we can understand what the visual inputs represent while consuming little energy. It has been a long-sought dream for human beings to build a powerful and energy-efficient intelligent vision system that has a superior ability, similar to the human brain. Computer vision, as a similar model to the human brain, aims at viewing, processing and understanding images in the same way as human beings,and has become one major technological advancement in building intelligent machines [1]. However, the mainstream technology for computer vision is based on algorithms running on a von Neumann architecture computer,
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