Oh, didn’t realize that. An algorithm to bias sharp pixels, I like. I’m aware that Simplify uses adaptive subsampling to apply greater decimation to smooth areas than to rough, so why not go further with this? If a surface is known to be (nearly)planar, or cylindrical, conical, spherical, etc. smooth, why not have adaptive smoothing to apply as well? Also, regarding how grain from ISO figures in to a reconstruction, you’d think that it being random between images that the photogrammetry engine would easily filter out grain from the solution. Thanks, Wishgranter, for your insights.