Jun Li1, Xiang Li1, Yifei Wei1,*, Mei Song1, Xiaojun Wang2
CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2529-2540, 2022, DOI:10.32604/cmc.2022.029542
- 16 June 2022
Abstract Image keypoint detection and description is a popular method to find pixel-level connections between images, which is a basic and critical step in many computer vision tasks. The existing methods are far from optimal in terms of keypoint positioning accuracy and generation of robust and discriminative descriptors. This paper proposes a new end-to-end self-supervised training deep learning network. The network uses a backbone feature encoder to extract multi-level feature maps, then performs joint image keypoint detection and description in a forward pass. On the one hand, in order to enhance the localization accuracy of keypoints More >
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