Outlier Detection Based on Residual Histogram Preference for Geometric Multi-Model Fitting
Geometric model fitting is a fundamental issue in computer vision, and the fitting accuracy is affected by outliers. In order to eliminate the impact of the outliers, the inlier threshold or scale estimator is usually adopted. However, a single inlier threshold cannot satisfy multiple models in the...
| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2020-05-01
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| シリーズ: | Sensors |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1424-8220/20/11/3037 |