video of real-time V2V-PoseNet hand tracking

[pythonsql21]

Hi, do you have a demo (video) of real-time V2V-PoseNet hand tracking? Thx.

[mks0601]

https://drive.google.com/file/d/1KorXzUlQG7rhZ3oJPk28dyALZ528nq-u/view?usp=sharing
https://drive.google.com/file/d/1dMmFU4TpLgY88nLaN8uN-jEQsVzJIXKP/view?usp=sharing
https://drive.google.com/file/d/1jaugcdhIgThpo-aYueXSstNKqpTNy52x/view?usp=sharing

[pythonsql21]

Hi @mks0601 , thanks a lot for the demo video.
One more question, in the demo video what type of camera did you use for real-time tracking? RGB camera or RGB-D camera.

[mks0601]

Those are results on ICVL, MSRA, and NYU datasets, which provide depth maps. My method takes a depth map, so one of RGB-D camera or depth camera is used.

[pythonsql21]

Hi @mks0601, for the input images for training the V2V-PoseNet (as shown in Fig. 3 of your paper), what sofware did you use to compute 3D voxilized depth map (3D image)? do you have the 3D voxilized depth map (3D images) in your dataset?

[mks0601]

V2V-PoseNet_RELEASE/src/util.lua

Line 92 in b91a69f

function generate_cubic_input(cubic,depthimage,refPt,newSz,angle,trans)

This function generates a 3D voxelized depth map from a 2D depth map.

[pythonsql21]

Hi @mks0601, what program did you use to visualize 3D voxel? Did you use matplotlib?thx