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Project B.2

Local feature compression using autoencoders - SfM tests

Design a compression strategy for local SURF descriptors using autoencoders.

Training data can be generated using the images of dataset Portello http://www.dei.unipd.it/~sim1mil/materiale/3Drecon/portelloData.zip and Castle https://github.com/openMVG/SfM_quality_evaluation/tree/master/Benchmarking_Camera_Calibration_2008/castle-P30.

Testing must be done on dataset FountainP-11 and Tiso (available at https://github.com/openMVG/SfM_quality_evaluation/tree/master/Benchmarking_Camera_Calibration_2008 and http://www.dei.unipd.it/~sim1mil/materiale/3Drecon/).

Testing on 3D reconstruction using SfM

The reconstructed descriptors (only for the test set) are used to perform a SfM reconstruction using COLMAP https://colmap.github.io/, (using the two test dataset).

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