Jan 30, 2023 · The fully convolutional geometric features (FCGF) is a deep learning-based approach allowing the extraction of both local and global geometric ...

Extracting geometric features from 3D scans or point clouds is the first step in applications such as registration, reconstruction, and tracking.

Extracting geometric features from 3D scans or point clouds is the first step in applications such as registra- tion, reconstruction, and tracking.

Abstract— This paper focuses on pose registration of different object instances from the same category. This is required in.

This data-driven approach is based on the FCGF [11] architecture, where the goal is to encapsulate into the feature vector assigned to every point, global and ...

Mar 8, 2021 · Abstract— This paper focuses on pose registration of different object instances from the same category. This is required in.

Oct 1, 2019 · This work presents fully-convolutional geometric features, computed in a single pass by a 3D fully- Convolutional network, which achieve ...

This list focuses on the rigid registration between point clouds. Table of Contents. Coarse Registration (Global Registration). Feature Matching Based. Keypoint ...