modellingcomponents:filter
Unterschiede
Hier werden die Unterschiede zwischen zwei Versionen angezeigt.
Beide Seiten der vorigen RevisionVorhergehende ÜberarbeitungNächste Überarbeitung | Vorhergehende Überarbeitung | ||
modellingcomponents:filter [2021/09/23 14:16] – [ransaclin() - RANSAC linear model] oliver | modellingcomponents:filter [2021/09/23 14:18] (aktuell) – [ransaccirc() - RANSAC circle model] oliver | ||
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NaN-values at the end of the timeserie can not be interpolated. | NaN-values at the end of the timeserie can not be interpolated. | ||
- | ==== ransaclin() - RANSAC linear model ==== | + | ==== ransaclin() - RANSAC linear model (1d) ==== |
RANSAC with linear model. | RANSAC with linear model. | ||
^ Attribute ^ Default ^ Description | ^ Attribute ^ Default ^ Description | ||
^ threshold | 0.04 | Threshold value to determine data points that are fit well by the linear model. | yes | | ^ threshold | 0.04 | Threshold value to determine data points that are fit well by the linear model. | yes | | ||
- | ^ maxiterations | 1000 | Maximum number of iterations allowed in the algorithm. | yes | | + | ^ maxiterations | 1000 | Maximum number of iterations allowed in the algorithm. | yes | |
^ inlierratio | 0.8 | Ratio of inlier number of data points to estimate model parameters from all points. The result is substitution by the current iteration only if at minimum the count of inlierratio of all frames fits to the result. | yes | | ^ inlierratio | 0.8 | Ratio of inlier number of data points to estimate model parameters from all points. The result is substitution by the current iteration only if at minimum the count of inlierratio of all frames fits to the result. | yes | | ||
^ minimumnumber | 50 | Number of close data points required to assert that a model fits well to data. This is the number of frames which are randomly selected in a iteration of optimization | yes | | ^ minimumnumber | 50 | Number of close data points required to assert that a model fits well to data. This is the number of frames which are randomly selected in a iteration of optimization | yes | | ||
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If this filter is used to filter multi-component data types, e.g. Matrix3d, it can happen that only some components are set to NaN. | If this filter is used to filter multi-component data types, e.g. Matrix3d, it can happen that only some components are set to NaN. | ||
+ | |||
+ | ==== ransaccirc() - RANSAC circle model (3d) ==== | ||
===== Adding filters via external " | ===== Adding filters via external " |
modellingcomponents/filter.1632399398.txt.gz · Zuletzt geändert: 2021/09/23 14:16 von oliver