Space Classification from Point Clouds of Indoor Environments Based on Reconstructed Topology

Wolfgang Huhnt; T. Hartmann; Georg Suter

doi:10.1007/978-3-319-91635-4_5

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Space Classification from Point Clouds of Indoor Environments Based on Reconstructed Topology

Wolfgang Huhnt T. Hartmann Georg Suter

Year: 2018 Lecture notes in computer science Pages: 82-102 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-91635-4_5

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Keywords:

Point cloud Computer science Pipeline (software) Topology (electrical circuits) Point (geometry) Space (punctuation) Development (topology) Space partitioning RANSAC Histogram Artificial intelligence Data mining Computer vision Algorithm Image (mathematics) Mathematics Geometry

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3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

3D Modeling in Geospatial Applications

Physical Sciences → Engineering → Building and Construction

Space Classification from Point Clouds of Indoor Environments Based on Reconstructed Topology

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