Project summary

Motivation

• The importance of hand in (virtual) communications.
• More technically challenging compared to body or face.

Problem

• Task: Multiview 3D pose estimation
• Data: Sequences of hand images captured from multiple cameras in multiple views

Solution

• Extract feature and detect keypoints in 2D image
• Lifting 2D keypoints to 3D
• Epipolar geometry to improve 2D features

Documents:

Demo:

https://drive.google.com/open?id=1m8D4FmD_LOND6eG4BMoQjFLf1AJEDWSE

Capstone presentation:

https://drive.google.com/open?id=1gdyv2MmLz65pv24CxRmHtql_uxXVlupv

Mid-semester presentation:

https://drive.google.com/open?id=1ShSedeV_4D9sFfbiuQYGJ8PltNS6XcQS

Final presentation:

https://docs.google.com/presentation/d/1il_ufJcrc46Nle44Ffs73PLAobKcpAKSlNvGhNI8hoQ/edit?usp=sharing