Comments (3)
Hi,
the hand pose [66:156] usually does not deviate a lot from the mean SMPLH hand pose. so if you take the mean hand pose, it should be okay most of the time. However, if you set them as zeros the difference will be more significant, as in the zero pose, all fingers are straight.
from behave-dataset.
Thanks for the reply! I used to think that the dataset would give detailed hand poses and be able to form a more detailed contact with the object. Because I see your subjects are wearing special gloves. Anyway, thanks for the well-formatted dataset, and congratulations on your recent paper!
from behave-dataset.
actually we did record the detailed hand pose with these special gloves. but it turned out the data processing is significantly more difficult than we expected. so our current release does not include that, we are still working on processing these :)
from behave-dataset.
Related Issues (20)
- Questions about pose HOT 3
- Not able to see the output in kinect1 and kinect2
- libc10_cuda.so issue
- Error when executing behave_demo.py code
- intrinsic and depth back projection HOT 2
- Extracting frames from videos HOT 1
- Editing animation of person+object interaction HOT 2
- Multiple registration results for one sequence HOT 1
- Fail to run video2image.py with -nodepth arg on Date06_Sub07_backpack_back HOT 2
- 30fps Registration result of several sequences are misaligned with the rgbd data HOT 1
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- The keyboard and basketball's mask seems to be missing. HOT 1
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- hi, person_fit.ply has 6890 points but readme said it was stored in SMPL+H format HOT 4
- Camera matrix - Should the distortion params be incorporated? HOT 1
- Transfer coordinate from Kinect1 to Kinect0 HOT 1
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- Recover mesh using SMPLH parameters, not exactly match to the provided person_fit.ply HOT 1
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from behave-dataset.