magicleap / SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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question regarding keypoint normalization #149

Open smileyenot983 opened 9 months ago

smileyenot983 commented 9 months ago

Hi everyone, i am curious about scaling in keypoint normalization. Is there any specific reason for choosing the scaling value in this way? I mean why to move it to [-0.7; 0.7] range and not [-1.0; 1.0] for example? https://github.com/magicleap/SuperGluePretrainedNetwork/blob/master/models/superglue.py#L71