Automatic Outlier Detection and Removal
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 Meshcam Registration Code
# Load mesh mesh = read_triangle_mesh("mesh.ply") threshold=3): mean = np.mean(points
The Meshcam Registration Code! That's a fascinating topic. axis=0) std_dev = np.std(points