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(filtering algorithms that use z-score or Mahalanobis distance to detect outliers to remove spurious points, so that cleaner datasets improve feature recognition accuracy); and mesh simplification (algorithms that use squared error metrics or edge collapse algorithms to simplify the mesh while preserving...