Choosing how to choose keypoints - SIFT, SURF and HARRIS

OTB Features multiple keypoint detectors for image matching purposes. I have talked about SIFT and SURF in before, I recently added the simpler Harris to the disparity map plugin. All 3 work to some extent, Harris manages to produce thousands of keypoints with default parameters and cause memory errors. Something I will definitely have to fix.

Otherwise the long awaited graphical filter connector plugin should be the one I will work on next. I have enough single plugin blocks to make a chaining tool useful. Leave me some notes on which elements you would like to see in it.

Matching things up - SIFT Landmark matching via OTB

Orfeo Toolbox has implemented a few landmark identification techniques - SIFT and SURF. Transforms can be calculated from 2 sets of landmark points using an appropriate model. I had some trouble bringing it to Qgis, the output is just one band. The sample code needs to be extended to work with multi-band images. The in-memory representation of the match images is in double, this can cause array allocation failures. Otherwise this feature matching provides correlation free image matching for images with different dynamics - such as SAR to Optical.