Fully Convolutional Geometric Features

Extracting geometric features from 3D scans or point clouds is the first step in applications such as registration, reconstruction, and tracking. State-of-the-art methods require computing low-level features as input or extracting patch-based features with limited receptive field... (read more)

PDF Abstract International Conference on Computer vision 2019 PDF International Conference on Computer vision 2019 Abstract

Datasets


Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
3D Feature Matching 3DMatch Benchmark FCGF Average Recall 0.9578 # 1
Point Cloud Registration 3DMatch Benchmark FCGF + RANSAC Recall 82 # 7

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet