Seminar: Recent Advances in 3D Computer Vision
Seminar for computer science and games engineering master students (IN2107).
Description
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.
Organization
General
- Organizer: Christiane Sommer, Björn Häfner
- The slides from the preliminary meeting as well as the list of papers can be found here (password protected).
Weekly Meetings
- Day: Thursday
- Time: 10:00 - 12:00
- Start: November 15th, 2018
- Location: 02.09.023
- Each week there will be two talks.
- All talks are held in English.