Hierarchical Visual Localization Based on Sparse Feature Pyramid for Adaptive Reduction of Keypoint Map Size.
Andrei PotapovMikhail KurenkovPavel A. KarpyshevEvgeny YudinAlena SavinykhEvgeny KruzhkovDzmitry TsetserukouPublished in: VTC2023-Spring (2023)
Keyphrases
- coarse to fine
- binary tree
- multiresolution
- image features
- keypoints
- visual information
- high dimensional
- feature maps
- visual features
- computational complexity
- sparse data
- maximum a posteriori
- hierarchical structure
- sparse representation
- low level
- robot localization
- object based visual attention
- memory requirements
- feature descriptors
- markov random field
- compressive sensing
- reduction method
- face recognition
- monte carlo localization