AN EVALUATION FRAMEWORK FOR BENCHMARKING INDOOR MODELLING METHODS

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Tran, H.^1¹  Díaz-Vilariño, L.^2²  Khoshelham, K.^1³  Peter, M.^3⁴ 

[1] Applied Geotechnologies Group, Dept. of Natural Resources and Environmental Engineering, University of Vigo, Spain^2;Dept. of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands^3;Dept. of Infrastructure Engineering, University of Melbourne, Parkville 3010 Australia^1;Dept. of Remote Sensing and Geo-Information Engineering, School of Land Science and Technology, China University of Geosciences, Beijing 100083, China^4

关键词: 3D reconstruction;    Automation;    Point cloud;    BIM;    Quality;    Evaluation;    Performance;    Indoor navigation;   

DOI  :  10.5194/isprs-archives-XLII-4-297-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

Despite recent progress in the development of methods for automated reconstruction of indoor models, a comparative performance evaluation of these methods is not available due to the lack of publicly available benchmark datasets and a common evaluation framework. The ISPRS Benchmark on Indoor Modelling is an effort to enable comparison and benchmarking of indoor modelling methods by providing a benchmark dataset and a comprehensive evaluation framework. In this paper, we propose a framework for the evaluation of indoor modelling methods, and discuss various quality aspects of the reconstruction methods as well as the reconstructed models. We discuss the challenges in quantitative quality evaluation of indoor models through comparison with a reference model, and propose suitable measures and methods for comparing an automatically reconstructed indoor model with a reference.

【 授权许可】

CC BY