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cattaneod avatar cattaneod commented on July 22, 2024

Thank you for your interest in our work.

The ground truths are embedded in the preprocessed point cloud, i.e., in the preprocessing step I save the local point cloud for each camera frame. This means that the ground truth for each (camera, point cloud) pair is the identity.

During training/inference, I apply a random transformation H_init to the point cloud, feed it to the network (together with the image), and the network predicts the transformation H_pred. The composed pose H_init*H_pred should be as close as possible to the identity transformation.

I hope my explanation is clear.

from cmrnet.

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