Labeling Custom Indoor Point Clouds Through 2D Semantic Image Segmentation

Author:

Ahmed Shayan1,Gedschold Jonas1,Wegner Tim Erich1,Sode Adrian2,Trabert Johannes2,Del Galdo Giovanni1

Affiliation:

1. Institute for Information Technology Technische Universität Ilmenau,Ilmenau,Germany

2. MetraLabs GmbH Weimarer Straße 28,Ilmenau,Germany

Funder

Ministry of Education

Publisher

IEEE

Reference17 articles.

1. Deep residual learning for image recognition;he;CoRR,2015

2. Joint 2d-3d-semantic data for indoor scene understanding;armeni;CoRR,2017

3. Semantic object classes in video: A high-definition ground truth database;gabriel;Pattern Recognition Letters,2009

4. Semantic Segmentation Post-processing with Colorized Pairwise Potentials and Deep Edges

5. Post processing of image segmentation using conditional random fields;dhawan;2019 6th International Conference on Computing for Sustainable Global Development (INDIACom),2019

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