The development of scene reconstruction and understanding has achieved remarkable results. An indoor scene can be easily reconstructed with a consumer depth sensor. A reconstructed scene can also be processed to semantically understand the objects inside the scene. However, very few methods try to reuse the knowledge from previous scans. Reusing previous scans is a challenging task since it involves retrieving and registering the scenes that have potential changes (See Fig. 1).
In this project, we aim to develop methods that focus on reusing the knowledge from previous scans. The target goal includes: a) improve reconstruction quality, b) retrieve scenes, c) relocalize camera pose, and d) re-identify objects and changes.
This project is offered as a Master Thesis or Guided Research. In addition, a Hiwi position could be paired to this research project
The goal of this project is to develop methods to reuse the knowledge from previous scans. The possible direction can be:
|Supervisor:||Shun-Cheng Wu Johanna Wald|
|Area:||Machine Learning, Computer Vision|