Labeling Custom Indoor Point Clouds Through 2D Semantic Image Segmentation
Author:
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
Link
http://xplorestaging.ieee.org/ielx7/10023545/10022323/10023819.pdf?arnumber=10023819
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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