Open dedoogong opened 4 years ago
hi, i believe there was a person with malfunctioning mic so that I can't hear anything, not sure it were you.
My method is random sampling + greedy re-selection, so there is no guarantee to choose voxels containing key-points or anything symmetric.
Hello! I joined CVPR2020 to talk with you but I coudln't as you don't answer me ;/
I have no choice but to write my question here so please understand me.
I'm trying to get only some(maybe 8) meaningful keypoint(such as FPS points) as below this pic shows the detected results from KeypointNet. (https://keypointnet.github.io/) the Figure5 in your paper shows an example of sampled kpts on airplane and I wonder your method can detect(sample) on the same positions on the surface consistently as the above picture?
especially I want to find the keypoint on a symmetric object like a cup or a bottle.
that's really what I'm looking for! if not can you suggest an idea to achieve my goal? I guess I need to train your model with an additional loss function like the one used in KeypointNet.
please give me some hint.
Thank you!