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

VOCVLC/CVPR 2017


Computer Graphics Computer Vision & Pattern Recognition Artificial Intelligence Robotics



Visual odometry maintains an increasing interest in recent years, especially with the extensive applications on autonomous driving and augmented reality. With the location information obtained through odometry, services based on location information are also rapidly emerging. This workshop invites papers in the areas including advances in visual odometry and its applications related to computer vision in topics listed below, but not limited:
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 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
Video surveillance
Benchmark datasets collection