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@anmatako anmatako commented Mar 9, 2021

New functionality:

  • ComputeBoundsAndCentroid: Computes the bounding box (two corner points) of the reconstruction and the 3D point centroid based on the min and max percentiles. Similarly to how Normalize works.
  • ComputeCentroid: Computes the centroid based on the min and max percentiles.
  • ComputeBoundingBox: Computes the bounding box as two corner points based on the min and max percentiles.
  • Crop: Crops the reconstruction based on the given bounding box. It does not modify the current reconstruction; the cropped result is an output by reference instead. The output reconstruction only includes the 3D points within the bounding box. It includes all images and cameras of the original reconstruction, but only the images that see 3D points inside the bounding box are registered.

Modified functionality:

  • Normalize: Works same as before but now leverages the new ComputeBoundsAndCentroid function.
  • Align and AlignRobust: These are now templated on a bool flag that determines whether or not the scale is estimated when estimating the similarity transform. Also they can export the transform used in alignment since it's now provided as input by reference.

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anmatako commented Mar 9, 2021

This new functionality is leveraged in additional model manipulation commands that will be part of subsequent PR.

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I'll add some unit tests for the new functionality in the next update and it should be good then.

@ahojnnes ahojnnes enabled auto-merge (squash) March 10, 2021 22:04
@ahojnnes ahojnnes merged commit 99c7904 into colmap:dev Mar 10, 2021
@anmatako anmatako deleted the public/recon branch March 10, 2021 22:23
lucasthahn pushed a commit to tne-ai/colmap that referenced this pull request Aug 17, 2022
* Refactoring and new functionality in Reconstruction class

* Change set to unordered_set

* Address PR comments

* Add unit tests

* Make Reconstruction Crop test deterministic

* Update reconstruction.cc

Co-authored-by: Antonios Matakos <[email protected]>
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