Apr 26, 2024 · A novel LSD is designed for terrestrial point clouds. First, a simple yet efficient local reference frame (LRF) is developed.

These descriptors have relatively good descriptiveness. However, all these descriptors are typically used to carry out the registration of curved-surface point.

The proposed LRF can largely improve the performance of the descriptor. Our LSD also has significantly better descriptiveness and robustness compared to the ...

Duration: 0:42
Posted: 5 days ago

This paper proposes an automatic coarse registration of point clouds algorithm based on planar shape matching and topology graph voting (PSMR) according to ...

Automatic Registration of Point Clouds by Combining Local Shape Descriptor ... A Local Shape Descriptor Designed for Registration of Terrestrial Point Clouds.

Oct 22, 2024 · Registration is the first step in point cloud data processing. ... A Local Shape Descriptor Designed for Registration of Terrestrial Point ...

In this work, we learn local registration descriptors for point clouds in a self-supervised manner. In each iteration of the training, the input of the network ...

This paper proposes a novel local feature descriptor, called a local feature statistics histogram (LFSH), for efficient 3D point cloud registration.

Dec 19, 2020 · This study proposes an efficient probabilistic registration for free-form cultural heritage objects by integrating the proposed principal direction descriptor ...