The ISPRS benchmark on indoor modelling

The ISPRS benchmark on indoor modelling

Khoshelham, K. (University of Melbourne)
Díaz-Vilarino, L. (TU Delft OLD Department of GIS Technology; University of Vigo)
Peter, M. (University of Twente)
Kang, Z. (China University of Geosciences)
Acharya, D. (University of Melbourne)

2017

Automated generation of 3D indoor models from point cloud data has been a topic of intensive research in recent years. While results on various datasets have been reported in literature, a comparison of the performance of different methods has not been possible due to the lack of benchmark datasets and a common evaluation framework. The ISPRS benchmark on indoor modelling aims to address this issue by providing a public benchmark dataset and an evaluation framework for performance comparison of indoor modelling methods. In this paper, we present the benchmark dataset comprising several point clouds of indoor environments captured by different sensors. We also discuss the evaluation and comparison of indoor modelling methods based on manually created reference models and appropriate quality evaluation criteria. The benchmark dataset is available for download at: http://www2.isprs.org/commissions/comm4/wg5/benchmark-on-indoor-modelling.HTML.

3D modelling
Accuracy
Automation
BIM
Evaluation
Geometric reconstruction
Indoor navigation
Performance
Point cloud
Quality
Semantics

http://resolver.tudelft.nl/uuid:a4e759b2-ab77-42d1-ae2e-b58dd6a18852

https://doi.org/10.5194/isprs-archives-XLII-2-W7-367-2017

ISPRS

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7

ISPRS Geospatial Week 2017, 2017-09-18 → 2017-09-22, Wuhan, China

Institutional Repository

conference paper

© 2017 K. Khoshelham, L. Díaz-Vilarino, M. Peter, Z. Kang, D. Acharya