Hu, Xin and Zhang, Xiaodong and Zhou, Xuequan and Zhang, Hua and Li, Chunshan and Ding, Deqiong and Chu, Dianhui (2019) A Hierarchical Bayesian Model for Matching Unlabeled Point Sets. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.
|
Text (PDF)
eai.29-6-2019.2282677.pdf - Published Version Available under License Creative Commons Attribution No Derivatives. Download (3MB) | Preview |
Abstract
Point set registration is the key in many scientific disciplines. Target at several challenges in registration (e.g. initial registration, outliers, missing data, and local trap), we propose a robust registration method for two point sets using a hierarchical Bayesian model, which is combined with Markov chain Monte Carlo inference. Our approach is based on the introduction of a template of hidden locations underlying the observed configuration points. A Poisson process prior is assigned to these locations, resulting in a simplified formulation of the model. We make use of a structure containing the relevant information on the matches. We conduct several experiments to demonstrate that our algorithm is accurate and robust.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | hierarchical model markov chain monte carlo matching registration |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
| Depositing User: | EAI Editor I. |
| Date Deposited: | 09 Sep 2020 06:59 |
| Last Modified: | 09 Sep 2020 06:59 |
| URI: | https://eprints.eudl.eu/id/eprint/83 |
Actions (login required)
 |
View Item |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)
