Here's a feature idea:
# Register mesh using cleaned vertices registered_mesh = mesh_registration(mesh, cleaned_vertices) This is a simplified example to illustrate the concept. You can refine and optimize the algorithm to suit your specific use case and requirements. Meshcam Registration Code
def detect_outliers(points, threshold=3): mean = np.mean(points, axis=0) std_dev = np.std(points, axis=0) distances = np.linalg.norm(points - mean, axis=1) outliers = distances > (mean + threshold * std_dev) return outliers Here's a feature idea: # Register mesh using
Automatic Outlier Detection and Removal
Implement an automatic outlier detection and removal algorithm to improve the robustness of the mesh registration process. threshold=3): mean = np.mean(points
import numpy as np from open3d import *