Learning Two-View Correspondences and Geometry via Local Neighborhood Correlation

Seeking quality feature correspondences (also known as matches) is a foundational step in computer vision. In our work, a novel and effective network with a stable local constraint, named the Local Neighborhood Correlation Network (LNCNet), is proposed to capture abundant contextual information of e...

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Detalles Bibliográficos
Autores principales: Dai, Luanyuan, Liu, Xin, Wang, Jingtao, Yang, Changcai, Chen, Riqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394602/
https://www.ncbi.nlm.nih.gov/pubmed/34441164
http://dx.doi.org/10.3390/e23081024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394602/
https://www.ncbi.nlm.nih.gov/pubmed/34441164
http://dx.doi.org/10.3390/e23081024

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