Optical Flow Estimation by Matching Time Surface with Event-Based Cameras

In this work, we propose a novel method of estimating optical flow from event-based cameras by matching the time surface of events. The proposed loss function measures the timestamp consistency between the time surface formed by the latest timestamp of each pixel and the one that is slightly shifted...

Descripción completa

Detalles Bibliográficos
Autores principales: Nagata, Jun, Sekikawa, Yusuke, Aoki, Yoshimitsu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915966/
https://www.ncbi.nlm.nih.gov/pubmed/33562162
http://dx.doi.org/10.3390/s21041150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915966/
https://www.ncbi.nlm.nih.gov/pubmed/33562162
http://dx.doi.org/10.3390/s21041150

Ejemplares similares