Acta Optica Sinica, Volume. 42, Issue 9, 0915001(2022)
Polarization Imaging Detection of Individual Camouflage Based on Two-Stream Fusion Network
Fig. 1. Schematic of light propagation
Fig. 2. Layout diagram of color focal plane polarized pixel array
Fig. 3. Structure diagram of TSF-Net
Fig. 4. Structure diagram of ANN
Fig. 5. Structure diagram of APP-Net
Fig. 6. Structure diagram of APP-Net
Fig. 7. Structure diagram of RGB-Net
Fig. 8. Process of feature extraction and feature fusion
Fig. 9. Schematic of training and test process
Fig. 10. Physical drawing of portable acquisition equipment
Fig. 11. Schematic of classification of individual camouflage polarization image dataset
Fig. 12. Two types of camouflage target test diagram. (a) Multicam type camouflage; (b) Woodland type camouflage
Fig. 13. Detection effects of different models in Multicam dataset. (a) SSD model; (b) YOLOv4 model; (c) YOLOv5 model; (d) RetinaNet model; (e) Faster R-CNN model; (f) TSF-Net model
Fig. 14. Detection effects of different models in Woodland dataset. (a) SSD model; (b) YOLOv4 model; (c) YOLOv5 model; (d) RetinaNet model; (e) Faster R-CNN model; (f) TSF-Net model
Fig. 15. Parameter verification result
Fig. 16. Verification results for different branches. (a) Detection accuracy of different v values; (b) IOU-mAP curves
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Rongchang Wang, Feng Wang, Shuaijun Ren, Yong Wang. Polarization Imaging Detection of Individual Camouflage Based on Two-Stream Fusion Network[J]. Acta Optica Sinica, 2022, 42(9): 0915001
Category: Machine Vision
Received: Sep. 3, 2021
Accepted: Nov. 17, 2021
Published Online: May. 21, 2022
The Author Email: Wang Feng (wfissky7202@sina.com)