3D Hand-Object Reconstruction from monocular RGB images
Computer Vision, Hand-Object Interaction
Understanding human hand and object interaction is fundamental for meaningfully interpreting human action and behavior.
With the advent of deep learning and RGB-D sensors, pose estimation of isolated hands or objects has made significant progress.
However, despite a strong link to real applications such as augmented and virtual reality, joint reconstruction of hand and object has received relatively less attention.
This task focuses on accurately reconstructing hand-object interactions in three-dimensional space, given a single RGB image.
- Programming in Python
- Knowledge about Deep Learning
- Knowledge about Pytorch