3D object recognition based on point clouds in underwater environment with global descriptors: A survey
This paper addresses the problem of object recognition from colorless 3D point clouds in
underwater environments. It presents a performance comparison of state-of-the-art global …
underwater environments. It presents a performance comparison of state-of-the-art global …
3D Feature detector-descriptor pair evaluation on point clouds
P Stancelova, E Sikudova… - 2020 28th European …, 2021 - ieeexplore.ieee.org
In recent years, computer vision research has focused on extracting features from 3D data.
In this work, we reviewed methods of extracting local features from objects represented in …
In this work, we reviewed methods of extracting local features from objects represented in …
Performance evaluation of selected 3D keypoint detector–descriptor combinations
P Stancelova, E Sikudova, Z Cernekova - International Conference on …, 2020 - Springer
Nowadays, with easily accessible 3D point cloud acquisition tools, the field of point cloud
processing gained a lot of attention. Extracting features from 3D data became main …
processing gained a lot of attention. Extracting features from 3D data became main …