Cargando…
A Hierarchical Framework Combining Motion and Feature Information for Infrared-Visible Video Registration
In this paper, we propose a novel hierarchical framework that combines motion and feature information to implement infrared-visible video registration on nearly planar scenes. In contrast to previous approaches, which involve the direct use of feature matching to find the global homography, the fram...
Autores principales: | Sun, Xinglong, Xu, Tingfa, Zhang, Jizhou, Li, Xiangmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336023/ https://www.ncbi.nlm.nih.gov/pubmed/28212350 http://dx.doi.org/10.3390/s17020384 |
Ejemplares similares
-
An Automatic Multi-Target Independent Analysis Framework for Non-Planar Infrared-Visible Registration
por: Sun, Xinglong, et al.
Publicado: (2017) -
Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association
por: Zhao, Bingqing, et al.
Publicado: (2019) -
General cross-modality registration framework for visible and infrared UAV target image registration
por: Luo, Yu, et al.
Publicado: (2023) -
An Infrared-Visible Image Registration Method Based on the Constrained Point Feature
por: Li, Qingqing, et al.
Publicado: (2021) -
Real-Time Tracking Framework with Adaptive Features and Constrained Labels
por: Li, Daqun, et al.
Publicado: (2016)