实时无约束目标识别：一种基于哺乳动物视觉系统的处理流程
Real-time unconstrained object recognition: a processing pipeline based on the mammalian visual system.
作者信息
Aguilar Mario, Peot Mark A, Zhou Jiangying, Simons Stephen, Liao Yuwei, Metwalli Nader, Anderson Mark B
机构信息
Teledyne Scientific Company, Durham, North Carolina, USA.
出版信息
IEEE Pulse. 2012 Mar;3(2):53-6. doi: 10.1109/MPUL.2011.2181025.
PMID:22481747
Abstract
The mammalian visual system is still the gold standard for recognition accuracy, flexibility, efficiency, and speed. Ongoing advances in our understanding of function and mechanisms in the visual system can now be leveraged to pursue the design of computer vision architectures that will revolutionize the state of the art in computer vision.
摘要
哺乳动物视觉系统在识别准确性、灵活性、效率和速度方面仍然是黄金标准。目前，我们对视觉系统功能和机制的理解不断取得进展，现在可以利用这些进展来探索计算机视觉架构的设计，这将彻底改变计算机视觉的现有技术水平。
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