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Acta Armamentarii ›› 2022, Vol. 43 ›› Issue (8): 1845-1857.doi: 10.12382/bgxb.2021.0393

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Compact Catadioptric Bionic Compound Eye and Fast Image Mosaic Recognition Algorithm

CAO Zhaorui1, HAO Yongping1, LIU Wancheng2, BAI Fan1, SUN Haoyang1, ZHANG Hui3, LI Yuhai2   

  1. (1. School of Equipment Engineering, Shenyang Ligong University, Shenyang 110159, Liaoning, China; 2. Science and Technology on Electro-optical Information Security Control Laboratory, 300308, Tianjin, China; 3. School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, Liaoning, China)
  • Online:2022-07-24

Abstract: To resolve the problems of high mass and high volume of image data generated by the multi-channel camera array in a bionic compound eye, a large FOV bionic compound eye imaging system and an image fast mosaic recognition algorithm based on multi-channel single detector is proposed. By using optical path refraction and normalization, multi view sub eye image plane coplanar and single photodetector partition imaging are realized. Based on the imaging characteristics of catadioptric eyes, an image mosaic algorithm based on the structural similarity at the feature map level is proposed. Fast reconstruction and target recognition of global images with a large field of view (FOV) in a compact space are realized by using a convolution neural network for target recognition. The proposed compound eye system has an effective optical FOV of 138°×75°, an optical dimension is 29.78 mm×19.74 mm×6.86 mm, and a global image mosaic speed is 0.011 s. The compact catadioptric compound eye has the advantages of small volume, large FOV, and low computational cost. It can provide wide area vision and fast image mosaic recognition capabilities for small unmanned equipment and low speed projectiles with limited load and computational power.

Key words: bioniccompoundeye, multi-apertureimaging, opticalpathcatadioptric, imagestitching, targetrecognition

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