Infrared and Laser Engineering, Volume. 51, Issue 12, 20220176(2022)
Rotating face detection based on convergent cascaded convolutional neural network
Figures & Tables(10)
Fig. 2. Multi-scale rotating face detection model based on convergent cascaded convolutional neural network
Fig. 7. Comparison of ROC curves on the Rotate FDDB datasetRotate FDDB数据集上的 曲线对比
Fig. 8. Comparison of ROC curves on the Rotate Sub-WIDER FACE datasetRotate Sub-WIDER FACE数据集上的 曲线对比
Fig. 9. Partial detection effect diagram of proposed algorithm on the Rotate Sub-WIDER FACE dataset
Table 1. Comparison of speed and precision of PCN, Faster R-CNN, SSD, Cascade CNN and proposed algorithm in 100 false positives
View tableView in ArticleTable 1. Comparison of speed and precision of PCN, Faster R-CNN, SSD, Cascade CNN and proposed algorithm in 100 false positives
Method Precision Speed/FPS PCN[ 13 ]0.852 47 Faster R-CNN[ 14 ]0.818 13 SSD[ 15 ]0.771 24 Cascade CNN[ 16 ]0.778 51 Proposed algorithm 0.871 45
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Yue Qi, Yunyun Dong, Yiqin Wang. Rotating face detection based on convergent cascaded convolutional neural network[J]. Infrared and Laser Engineering, 2022, 51(12): 20220176
Paper Information
Category: Image processing
Received: Mar. 13, 2022
Accepted: May. 16, 2022
Published Online: Jan. 10, 2023
The Author Email: Wang Yiqin (applychance@126.com)
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