Absolute Camera Pose Regression Using an RGB-D Dual-Stream Network and Handcrafted Base Poses

Absolute pose regression (APR) for camera localization is a single-shot approach that encodes the information of a 3D scene in an end-to-end neural network. The camera pose result of APR methods can be observed as the linear combination of the base poses. Previous APR methods’ base poses are learned...

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Detalles Bibliográficos
Autores principales: Kao, Peng-Yuan, Zhang, Rong-Rong, Chen, Timothy, Hung, Yi-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503637/
https://www.ncbi.nlm.nih.gov/pubmed/36146335
http://dx.doi.org/10.3390/s22186971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503637/
https://www.ncbi.nlm.nih.gov/pubmed/36146335
http://dx.doi.org/10.3390/s22186971

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