@inproceedings{7a6a5e338db94516b03dd6f512c951ed,
title = "Robust and Efficient Structure-from-Motion Method for Ambiguous Large-Scale Indoor Scene",
author = "Yu, {Chia Hung} and Chen, {Kuan Wen}",
note = "Funding Information: We proposed a method to reconstruct large-scale ambiguous indoor scene. Different from other previous works, our algorithm can handle scenes that include more than one ambiguous area, and the results indicate that our method is more robust and efficient. Most importantly, none of existing works can successfully construct such ambiguous large-scale indoor scene, to the best of our knowledge. ACKNOWLEDGMENTS This work was supported in part by the National Science and Technology Council, Taiwan (MOST 111-2628-E-A49-003-MY2-, and MOST 110-2634-F-A49-006-).; SIGGRAPH Asia 2022 - Computer Graphics and Interactive Techniques Conference - Asia, SA 2022 ; Conference date: 06-12-2022 Through 09-12-2022",
year = "2022",
month = dec,
day = "26",
doi = "10.1145/3550082.3564199",
language = "English",
series = "Proceedings - SIGGRAPH Asia 2022 Posters",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - SIGGRAPH Asia 2022 Posters",
}