2018-03-03 14:11:24 -0600 | received badge | ● Teacher (source) |
2015-12-16 15:38:43 -0600 | received badge | ● Necromancer (source) |
2015-10-27 09:45:24 -0600 | received badge | ● Enthusiast |
2015-10-24 10:41:46 -0600 | commented question | horrible calibration results When I have to do a calibration it usually takes me quite a few tries before I get good results. So, to expect it to work every time might be an unreasonable expectation? |
2015-10-24 10:37:16 -0600 | commented question | Performance comparison of horizontal & vertical flipping Think about how the image is laid out in memory. A horizontal flip is a reordering of columns, which are scalar data (not contiguous in memory over rows), whereas vertical flipping is a reordering of the rows which are vectors (large chunks) of data. Operating on large chunks will be much faster. The horizontal flip may be vectorized, but it will have the additional step of a remapping or a permutation of the elements and so will be slower. |
2015-10-13 18:24:06 -0600 | received badge | ● Supporter (source) |
2015-10-09 07:44:02 -0600 | answered a question | Keypoint Matching Outlier Rejection, Delaunay Triangulation A different approach is to do inlier detection by finding a max clique. This is an NP-Complete problem, but there are fast approximations which appear to work well in practice. This method is described in the following papers: Real-Time Stereo Visual Odometry for Autonomous Ground Vehicles - Andrew Howard |