> So here is my recipe for efficiently matching a multi-row panorama: > > 1. First use ptochain to connect all consecutive photos in the > project, the result will be a project with one or more groups of > connected photos - With luck each of these groups will correspond > with a 'row' of the panorama. > > 2. Then take the first and last photos from each group and match > them all together in one go (this is another tool with the same > interface: ptobind). With luck there will be a single group of > connected photos in the project (if not you can open this subset in > Hugin and manually add points before continuing). > > 3. Next optimise this project, but only optimise pitch and yaw (not > roll), this will distribute the photos around the scene even if > there is only one control point between each photo. > > 4. Use ptofill to place control points between the remaining > overlapping photos that are not already linked. >
I implemented this algorithm inside hugin. To use it please create a new cp detector setting and set type to multi-row. I added also a variant for stacked projects. Thomas
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