Hand Pose Estimation for Hand-Object Interaction Cases using Augmented Autoencoder
Shile Li,Haojie Wang,Dongheui Lee,Shile Li,Haojie Wang,Dongheui Lee
Hand pose estimation with objects is challenging due to object occlusion and the lack of large annotated datasets. To tackle these issues, we propose an Augmented Autoencoder based deep learning method using augmented clean hand data. Our method takes 3D point cloud of a hand with an augmented object as input and encodes the input to latent representation of the hand. From the latent representatio...
