Postby **jessbenjamin** » Tue Feb 10, 2015 10:16 am

Apologies for bringing this up again, but I'm currently looking at different methods of change detection in 3D - I've tried meshing and boolean intersection methods on my meshes to calculate volumes etc, but given the number of points in my scans (~350-400 million in both), splitting the scans into many smaller slices to carry out these operations is fairly unfeasible over the area that I'm considering (20 km or so, cliffs are failing iteratively w/ fairly small volumes of change). I've been looking at cloud-to-cloud type operations instead, and trying to figure out ways that a series of volumes can be identified and quantified using M3C2 - while I got a fairly positive result for my accumulated volume using the cylinder method outlined above (2064 m^3 compared to 1989 m^3), my eroded volume was way out using the same method (3651 m^3 vs 2163 m^3). I appreciate that overlapping cylinders etc may be problem here. I'm just wondering how feasible this really is as a method for calculating volumes, given the difficulties I've had with just one very large, contiguous failure, and whether anyone had any ideas?