摘要: We presented an optical system to perform imaging interested objects in
complex scenes, like the creature easy see the interested prey in the hunt for
complex environments. It utilized Deep-learning network to learn the interested
objects's vision features and designed the corresponding "imaging matrices",
furthermore the learned matrixes act as the measurement matrix to complete
compressive imaging with a single-pixel camera, finally we can using the
compressed image data to only image the interested objects without the rest
objects and backgrounds of the scenes with the previous Deep-learning network.
Our results demonstrate that no matter interested object is single feature or
rich details, the interference can be successfully filtered out and this idea
can be applied in some common applications that effectively improve the
performance. This bio-inspired optical system can act as the creature eye to
achieve success on interested-based object imaging, object detection, object
recognition and object tracking, etc.
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分类:
光学
>>
量子光学
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引用:
ChinaXiv:202303.01794
(或此版本
ChinaXiv:202303.01794V1)
DOI:10.12074/202303.01794V1
CSTR:32003.36.ChinaXiv.202303.01794.V1
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科创链TXID:
3c9931ae-803e-4d1a-b708-9c6bbc339802
- 推荐引用方式:
Jun Li,Shimei Chen,Shangyuan Wang,Miao Lei,Xiaofang Dai,Chuangxue Liang,Kunyuan Xu,Shuxin Lin,Yuhui Li,Yuer Fan,Ting Zhong.An optical biomimetic eyes with interested object imaging.null.[ChinaXiv:202303.01794V1]
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