DaHumanPoseFromSparseData

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Master's thesis

3D Human Pose Estimation From Sparse Data
Thesis by:
Advisor: Prof. Dr. Nassir Navab
Supervision by: Felix Achilles

Overview

considering neighbors when drawing predictions considering neighbors when drawing predictions

Requirements

  • The student should have experience in C++ and/or Matlab.
  • Knowledge in optimization and machien Learning is also helpful.

Literature & Resource

Others:

  • Ye, M., & Yang, R., Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera. In CVPR 2014 (pp. 2345-2352).

Contact


Students.ProjectForm
Title: 3D Human Pose Estimation From Sparse Data
Abstract:  
Student:  
Director: Prof. Nassir Navab
Supervisor: Felix Achilles
Type: Master Thesis
Area:  
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 10 Jun 2016 - 09:34 - FelixAchilles