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DAN-SuperPoint: Self-Supervised Feature Point Detection Algorithm with Dual Attention Network
In view of the poor performance of traditional feature point detection methods in low-texture situations, we design a new self-supervised feature extraction network that can be applied to the visual odometer (VO) front-end feature extraction module based on the deep learning method. First, the netwo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914829/ https://www.ncbi.nlm.nih.gov/pubmed/35271087 http://dx.doi.org/10.3390/s22051940 |