@inproceedings{addfaac5e9f441ac906f8d600cd450ce,
title = "S2CMAF: Multi-Method Assessment Fusion for Scan-to-CAD Methods",
abstract = "Scan-to-CAD-based 3D reconstruction of indoor environments has become increasingly more popular in recent years. The inherent structure of Scan-to-CAD consists of object detection, model retrieval, and alignment. Therefore, a variety of metrics are required to assess these three aspects. This can lead to ambiguous evaluation results and incorrect quality assumptions. To impede the problem of incorrect evaluation, we introduce S2CMAF, a multi-method assessment fusion approach for Scan-to-CAD pipelines. S2CMAF merges several metrics used in evaluating these pipelines into one unique quality score. We show that S2CMAF significantly improves the correlation between Scan-to-CAD results and the ground truth, compared to the conventionally used Scan2CAD benchmark. Additionally, we train S2CMAF using different optimization techniques and demonstrate the advantages of our approach on real-world data.",
keywords = "3D Data, Evaluation, Metric, Multi-Method Assessment Fusion, Quality Assessment, Scan-to-CAD",
author = "Driton Salihu and Adam Misik and Markus Hofbauer and Eckehard Steinbach",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 24th IEEE International Symposium on Multimedia, ISM 2022 ; Conference date: 05-12-2022 Through 07-12-2022",
year = "2022",
doi = "10.1109/ISM55400.2022.00026",
language = "English",
series = "Proceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "129--136",
booktitle = "Proceedings - 2022 IEEE International Symposium on Multimedia, ISM 2022",
}