Cargando…
Improved Visual Localization via Graph Filtering
Vision-based localization is the problem of inferring the pose of the camera given a single image. One commonly used approach relies on image retrieval where the query input is compared against a database of localized support examples and its pose is inferred with the help of the retrieved items. Th...
Autores principales: | Lassance, Carlos, Latif, Yasir, Garg, Ravi, Gripon, Vincent, Reid, Ian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321269/ https://www.ncbi.nlm.nih.gov/pubmed/34460619 http://dx.doi.org/10.3390/jimaging7020020 |
Ejemplares similares
-
Gradients of connectivity as graph Fourier bases of brain activity
por: Lioi, Giulia, et al.
Publicado: (2021) -
Efficient Graph Collaborative Filtering via Contrastive Learning
por: Pan, Zhiqiang, et al.
Publicado: (2021) -
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing
por: Ratajczak, Florin, et al.
Publicado: (2022) -
Using cascading Bloom filters to improve the memory usage for de Brujin graphs
por: Salikhov, Kamil, et al.
Publicado: (2014) -
Learning Local–Global Multiple Correlation Filters for Robust Visual Tracking with Kalman Filter Redetection
por: Zhang, Jianming, et al.
Publicado: (2021)