Comments (3)
I see. You use feature to regress scale s and in-plane rotation α.
another question, why not use correspondences and RANSAC to get scale s and in-plane rotation α, translation t like a simple image regestring method based on SIFT descriptors, Since you have got the the correspondences from Fae ?
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Thanks for your interest!
We show in Table 4 the ablation study with different ways to predict the scale, and in-plane rotation from multiple correspondences as you mentioned (n=2 or n=4). Our method predicts fully 6D pose from a single correspondence (n=1) which is different and outperforms other approaches.
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I closed the issue but feel free to re-open it again if you have additional questions!
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Related Issues (16)
- Timeline for code release HOT 2
- Run-time application HOT 1
- Mesh template size constraint
- Does this work supports predicting the pose of my specific target object? HOT 1
- Getting an error while running test.py
- Suggestion: Update the dataset download link HOT 1
- Inference with BOP Challenge 2024 HOPE Dataset - Missing keys_to_shard.json HOT 2
- How many epochs did you train for each network?
- How to get the GT Pose of the itodd dataset? HOT 2
- Looking forward to the custom demo HOT 3
- installation error HOT 3
- Sampling templates from isosphere HOT 2
- AENet and ISTNet training HOT 6
- Question about key_to_shard.json file HOT 1
- about gpus memory HOT 2
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