Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics

Author:

Laupheimer Dominik,Haala Norbert

Funder

BMVI

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference56 articles.

1. Deep learning advances on different 3d data representations: A survey;Ahmed;CoRR,2018

2. Ali Khan, S., Shi, Y., Shahzad, M., Xiang Zhu, X., 2020. FGCN: Deep Feature-based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds. In: CVPRW. pp. 778–787.

3. Joint 2D–3D-semantic data for indoor scene understanding;Armeni;CoRR,2017

4. Generalizing discrete convolutions for unstructured point clouds;Boulch,2019

5. Unstructured point cloud semantic labeling using deep segmentation networks;Boulch,2017

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