Since CVPR is fully virtual this year, the workshop will also be virtual. We are planning to organize a Zoom meeting where invited speakers and challenge participants will give live talks. To avoid too full a meeting, we plan to stream the workshop on Youtube. You will also be able to interact with the speakers through CVPR's live tools that can be accessed through the CVPR landing page of the workshop.
Please check regularly for updates in the schedule.
For each slot, we provide times in PT (Seattle time) / ET / CEST / GMT+8 for convenience.
Visual Localization is the problem of estimating the position and orientation, i.e., the camera pose, from which an image was taken. Long-Term Visual Localization is the problem of robustly handling changes in the scene. Simultaneous Localization and Mapping (SLAM) is the problem of tracking the motion of a camera (or sensor system) while simultaneously building a (3D) map of the scene. Similarly, Visual Odometry (VO) algorithms track the motion of a sensor system, without necessarily creating a map of the scene. Localization, SLAM, and VO are highly related problems, e.g., SLAM algorithms can be used to construct maps that are later used by Localization techniques, Localization approaches can be used to detect loop closures in SLAM and SLAM / VO can be used to integrate frame-to-frame tracking into real-time Localization approaches.
Visual Localization, SLAM, and VO are all fundamental capabilities required in many Computer Vision and Robotics applications, such as Augmented / Mixed / Virtual Reality and other emerging applications based on location context, such as scene understanding, city navigation and tourist recommendation, and autonomous vehicles such as self-driving cars and other robots. Consequently, visual localization, SLAM, and VO are important research areas, both in academia and industry. This workshop focuses on the following important topics in the context of Localization, SLAM, and VO:
Besides offering concrete challenges, invited talks by experts from both academia and industry provide a detailed understanding about the current state of Visual Localization, SLAM, and VO algorithms, as well as open problems and current challenges. In addition, the workshop solicits original paper submissions.
This workshop provides challenges on SLAM and Long-Term Visual Localization. More details can be found on the pages describing the challenges.
This workshop covers a wide range of topics, including, but not limited to.
For additional details, please also see the Call for Papers.
(please refer to Call for Papers for submission)
Supplementary materials submission deadline: March 29th, April 5th 2020 (11:59 pm PST)