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Refactoring and new functionality in Reconstruction class #1169
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Contributor
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This new functionality is leveraged in additional model manipulation commands that will be part of subsequent PR. |
anmatako
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Mar 9, 2021
anmatako
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Mar 9, 2021
ahojnnes
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Mar 9, 2021
ahojnnes
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Mar 9, 2021
ahojnnes
reviewed
Mar 9, 2021
ahojnnes
reviewed
Mar 9, 2021
ahojnnes
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Mar 9, 2021
ahojnnes
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Mar 9, 2021
Contributor
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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
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Mar 10, 2021
lucasthahn
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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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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 howNormalizeworks.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 newComputeBoundsAndCentroidfunction.AlignandAlignRobust: 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.