计算机视觉
中央凹
计算机科学
像素
人眼
人工智能
囊状掩蔽
眼动
图像分辨率
跟踪(教育)
眼球运动
算法
生物化学
教育学
心理学
化学
视网膜
作者
Guan Wang,Huaxia Deng,Mengchao Ma,Xiang Zhong,Xinglong Gong
摘要
Inspired by the human eye retina, foveated single-pixel imaging employs an iterative algorithm, which, unfortunately, poses a challenge for real-time imaging due to its time-consuming nature. To address this issue, we present a non-iterative foveated single-pixel imaging method based on a computationally fast algorithm, reducing time consumption by five orders of magnitude. The fast algorithmic transform facilitates the acquisition of foveated reconstructions. In addition to mimicking human saccadic eye movements, the foveated strategy adapts to motion tracking through the foveal gaze control method. During high-resolution imaging in the fovea area, the maximum sensing area expands 3.14 times, similar to human vision. The proposed retina-like single-pixel imaging has great potential in future applications with the advantages of avoiding complex optics design, low time consumption, and wider vision field.
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