ShunChengWu

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


Contact

ShunShun   Shun-Cheng Wu (吳順成)

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Chair for Computer Aided Medical Procedures and Augmented Reality
Institut für Informatik / I-16
Boltzmannstr. 3
85748 Garching b. München

- Office: MI 03.13.035

- Personal Page: page

 

Student Project

Available
Master ThesisPerception for humanoid robotics
(Shun-Cheng Wu, Federico Tombari)

Running

Teaching Assistance

Research

Pointu3d   Improve the robustness of TSDF-based SLAM
The research was done in a five months project. The main goal of this project is to build a SLAM system which is robust to tracking-loss, drifting and able to perform detail object-level reconstruction. In the period I used the sliding windows and keyframes methods to handle the tracking loss and relocalization respectively. Moreover, an object centroid tracking system was added to allow users to take certain object during reconstruction, so as to reconstruct the whole model (for example, the bottom part).
     
LRF   Learning to assign Local Reference Frame for 3D Point Cloud
The idea of this research is to assign a local reference frame to the target point cloud before doing feature description, so as to get a descriptor which is invariance to rotations. The concept has been widely applied in some famous conventional 3D feature descriptors, e.g. SHOT, PS, USC, EM and MeshHog?. As well as learning based method, e.g.  CGF. As well as in 2D features SIFT.There are many LRF methods has been proposed which work well on the 3D complete model. However, when it comes to the partial scan, point dropout or occlusion, the currently existing methods cannot perform well. That brings the idea of using deep learning to learn the local reference frame in the above mentioned difficult conditions.

 

 


UsersForm
Title: M.Sc.
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Firstname: Shun-Cheng
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Lastname: Wu
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Birthday: 13.06.1991
Nationality: Blank
Languages: English, Chinese
Groups: Computer Vision
Expertise: Computer Vision
Position: Scientific Staff
Status: Active
Emailbefore: shuncheng.wu
Emailafter: tum.de
Room: MI 03.13.035
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Edit | Attach | Refresh | Diffs | More | Revision r1.22 - 21 Mar 2019 - 13:14 - ShunChengWu

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