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Table 1 The comparison of precision, recall, and F1-score between the proposed method (ISM) and efficient RANSAC (RSM)

From: Incremental structural modeling on sparse visual SLAM

   Precision Recall F1-Score
Case1 RSM 0.822 0.819 0.820
  ISM 0.993 0.832 0.906
Case2 RSM 0.756 0.756 0.756
  ISM 1.000 0.963 0.981
Case3 RSM 0.795 0.795 0.795
  ISM 1.000 0.900 0.947
Case4 RSM 0.500 0.489 0.494
  ISM 0.647 0.440 0.524
Case5 RSM 0.761 0.750 0.755
  ISM 0.942 0.645 0.766