November 11th, 2013 Comments off
This year's enhancements to the image processing routines in our stereo scanning software has improved processing speed and 3D model accuracy. Comparisons between our current results and those from 9 months ago show that we have reduced the magnitude of one type of geometric error in our 3D scans by a factor of 2 to 4, and we project that future software and hardware enhancements will allow us to cut the noise in half at least 5 more times. Finding/developing a benchmark to clearly reflect these results has been tricky. In the previous post we compared scans by superimposing them on each other and then comparing the non-linearity of flat surfaces. Because each surface should be flat, any deviation from a straight line represents a scanning error. We used standard deviation analysis to determine that our improvements had cut the error in half for this specific test, but that one number doesn't tell the whole story. What other metrics and ratios should we use to judge the quality of the 3D scans that our scanner produces? Until we come up with a more useful metric to quantify the relative quality, we will use human perception to evaluate the quality of scans. The video below shows the results of our last 9 months of software enhancement.