7th International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues 

 In-person: Seattle Convention Center Summit 330

Virtual: CVPR Provided Zoom (registered participants) or https://youtube.com/live/np5jeK1FYPI?feature=share 

Visual odometry and localization maintain an increasing interest in recent years, especially with the extensive applications on autonomous driving, augmented reality, and mobile computing. With the location information obtained through odometry, services based on location clues are also rapidly emerging. Particularly, in this workshop, we focus on mobile platform applications. This workshop invites papers in the areas including advances in visual odometry and computer vision applications based on location context in topics listed below, but not limited: 

• Mobile AR system

• Vision for Field Robotics

• AR glass applications

• Image-based localization and navigation

• Monocular and stereo visual odometry

• Visual odometry applications on autonomous driving

• Augmented reality based on visual odometry

• Robust pose estimation solutions

• Multi-model visual sensor data fusion

• Real-time object tracking

• 3D object and/or scene modeling

• Application of deep learning on visual odometry

• Large-scale SLAM • Map generation

• Scene understanding and semantic labeling

• Rendering and visualization of large-scale models

• Feature representation, indexing, storage and analysis

• Feature extraction and matching

• Object detection and recognition based on location context

• Landmark mining and tourism recommendation

Organization Team

 For any problem, please contact Dr. Guoyu Lu guoyu.lu@uga.edu