A large-scale dataset for indoor visual localization with high-precision ground truth.
Yuchen LiuWei GaoZhanyi HuPublished in: Int. J. Robotics Res. (2022)
Keyphrases
- high precision
- ground truth
- manually labeled
- high recall
- high reliability
- high quality
- achieve high precision
- outdoor images
- visual information
- database
- ground truth data
- low level
- high accuracy
- localization method
- real life
- benchmark datasets
- human subjects
- quantitative evaluation
- test images
- web scale
- segmented images
- visual perception
- gold standard
- visual features
- natural images
- computer vision
- machine learning
- real world