Comments (10)
Hi, I will try to find the code.
You can read this:
https://stackoverflow.com/questions/34644101/calculate-surface-normals-from-depth-image-using-neighboring-pixels-cross-produc
It is very helpful for you to understand how to recover surface normal. However, you should recover (x, y, z) for each pixel before calculating its surface normal
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Thank you so much for your kind reply.
But I still want to konw how did you get the depth estimation results by Junjie Hu (Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries) and convert these depth images to surface normal map .
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Hi, can you send me an email, I can send you the code.
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Thank you very much and my mails is [email protected]
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Thank you very much and my mails is [email protected]
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Hi,
I have tried to understand the link @YvanYin gives, but failed. Could you please send me the code too. My email is [email protected]. Looking forward to your reply and thank you very much.
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@YvanYin Hi, the link you provide gives a good insight but is not directly applicable here as it doesn't take into account the camera parameters. As you suggested, the correct way should be to backproject each pixel into 3d xyz then calculate the normals. However I struggle to find an efficient and concise implementation... I'm also surprised that I cannot find any resource on google as it seems to be a common problem. Anyway, can you provide the code in this repo? Thank you.
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Hi all, I will post my code for recovering the surface normal from the point cloud.
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Please check /tools/recover_surface_normal.py.
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Related Issues (20)
- Performance issue HOT 2
- Error while loading the model HOT 1
- How makew
- How make inference on single image? HOT 3
- Only can train 1 epoch? HOT 3
- Setting for training in ablation study HOT 1
- Some questions about surface normal estimation and robutness test HOT 3
- Might it be a small false figure reference of the paper uploaded on Arxiv? HOT 1
- how can I train with NYUD-V2 dataset HOT 1
- About the Camera Parameters HOT 2
- How can I generate the dense ground truth depth maps in KITTI? HOT 6
- How to generate a point cloud map? HOT 1
- Error when running train_kitti_metric.py HOT 1
- pretaind resnext101_32x4d.pth HOT 2
- abs_rel value
- yaml_cfg load error HOT 1
- Could you please provide the pretrain model of moblinenetv2? HOT 1
- The test_any_image file cannot correct output img and the test_nyu file output very bad quality image! HOT 2
- Questions about datasets
- How to understand the concept of convert depth to Point Cloud
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