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3D Feature Matching

3 papers with code · Computer Vision
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Latest papers with code

Fully Convolutional Geometric Features

International Conference on Computer vision 2019 chrischoy/FCGF

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

3D FEATURE MATCHING 3D POINT CLOUD MATCHING 3D SHAPE REPRESENTATION METRIC LEARNING

147
27 Oct 2019

3D Point Capsule Networks

CVPR 2019 yongheng1991/3D-point-capsule-networks

In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.

3D FEATURE MATCHING 3D GEOMETRY PERCEPTION 3D OBJECT CLASSIFICATION 3D OBJECT RECONSTRUCTION 3D PART SEGMENTATION 3D POINT CLOUD MATCHING 3D SHAPE GENERATION 3D SHAPE REPRESENTATION

171
27 Dec 2018

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution

23 Nov 2018qq456cvb/PRIN

Point cloud analysis without pose priors is very challenging in real applications, as the orientations of point clouds are often unknown.

3D FEATURE MATCHING DATA AUGMENTATION OBJECT CLASSIFICATION

57
23 Nov 2018