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...

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Detalles Bibliográficos
Autores principales: Jiang, Yucheng, Dong, Zehua, Mai, Songping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098972/
https://www.ncbi.nlm.nih.gov/pubmed/37050489
http://dx.doi.org/10.3390/s23073427

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