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Robust Cost Volume Generation Method for Dense Stereo Matching in Endoscopic Scenarios
Stereo matching in binocular endoscopic scenarios is difficult due to the radiometric distortion caused by restricted light conditions. Traditional matching algorithms suffer from poor performance in challenging areas, while deep learning ones are limited by their generalizability and complexity. We...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098972/ https://www.ncbi.nlm.nih.gov/pubmed/37050489 http://dx.doi.org/10.3390/s23073427 |