Probabilistic approach for maximum likelihood estimation of pose using lines

Probabilistic approach for maximum likelihood estimation of pose using lines

In this study, the authors have proposed a new solution for the problem of pose estimation from a set of matched 3D model and 2D image lines. Traditional line‐based pose estimation methods utilising the finite information of the observations are based on the assumption that the noises for the two en...

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Bibliographic Details
Main Authors: Yueqiang Zhang, Xin Li, Haibo Liu, Yang Shang
Format: Article
Language:English
Published: Wiley 2016-09-01
Series:IET Computer Vision
Subjects:
image sequences
least-squares technique
2D image lines
3D model
maximum likelihood pose estimation
probabilistic approach
Online Access:https://doi.org/10.1049/iet-cvi.2015.0099

Internet

https://doi.org/10.1049/iet-cvi.2015.0099

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