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fabiopoiesi / gedi

Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI
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Quesiton regarding test set #3

Open DavidBoja opened 2 years ago

DavidBoja commented 2 years ago

Hi,

you say in your work the following:

We use the point cloud pairs whose overlap is τo ≥ 30%, resulting in about 16.6K pairs for training and about 1.66K pairs for testing [8], [10], [16]. We use the ground-truth transformations provided by Gojcic et al. [16]

Could you please tell me how do you get the 1.66K pairs for testing? There are 1632 registrations to complete in the official 3DMatch benchmark.

Do you compute the overlap for every possible pair of point clouds in a fragment and, if the overlap is > 30%, try to register those examples? As I presume Gojicic et al. did in the PREDATOR paper here (and not in [16] Perfect match paper)?

Gojcic et al. [16] do not have any data either on ther repository or on their download links so I am a bit confused.

Thank you in advance and kind regards, David

fabiopoiesi commented 2 years ago

I will post the testing data soon