Seminar: Recent Advances in 3D Computer Vision
Please register over the TUM matching system.
Seminar for computer science master students (IN2107).
Information and Material
All information from the pre-meeting, together with a list of papers, can be found in the material section. The password to access it was given in the pre-meeting. If you missed it, email us for password request.
Weekly Meetings (Presentation)
Time and Date: Wednesdays 2pm-4pm
All talks and presentations should be held in English. Each week there will be two talks.
Visual simultaneous localization and mapping (SLAM) or Structure from Motion (SfM) is a classical problem in computer vision. It has wide applications in autonomous navigation, virtual/augmented reality, 3D scanning etc. In this seminar, we will start by reviewing the classical approaches in the literature and then proceed to the more recent methods for SLAM and SfM. In particular, topics will range from monocular to stereo and RGB-D cameras, from static methods to dynamic settings, and from low-level feature-based algorithms to high-level semantics-oriented approaches.
Final reports should be written in LaTeX using the provided template: Report template.