Cargando…
Reliable RANSAC Using a Novel Preprocessing Model
Geometric assumption and verification with RANSAC has become a crucial step for corresponding to local features due to its wide applications in biomedical feature analysis and vision computing. However, conventional RANSAC is very time-consuming due to redundant sampling times, especially dealing wi...
Autores principales: | Wang, Xiaoyan, Zhang, Hui, Liu, Sheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590582/ https://www.ncbi.nlm.nih.gov/pubmed/23509601 http://dx.doi.org/10.1155/2013/672509 |
Ejemplares similares
-
RANSAC for Robotic Applications: A Survey
por: Martínez-Otzeta, José María, et al.
Publicado: (2022) -
An Accurate and Robust Method for Absolute Pose Estimation with UAV Using RANSAC
por: Guo, Kai, et al.
Publicado: (2022) -
A Novel Remote Sensing Image Registration Algorithm Based on Feature Using ProbNet-RANSAC
por: Dong, Yunyun, et al.
Publicado: (2022) -
Robust Stereo Visual Odometry Using Improved RANSAC-Based Methods for Mobile Robot Localization
por: Liu, Yanqing, et al.
Publicado: (2017) -
1-Point RANSAC UKF with Inverse Covariance Intersection for Fault Tolerance
por: Kim, Sun Young, et al.
Publicado: (2020)