@inproceedings{97080e7d3b9d4ffb9a4f15dafd9ba931,
title = "Panoannotator a semi-automatic tool for indoor panorama layout annotation",
abstract = "We present PanoAnnotator, a semi-automatic system that facilitates the annotation of 2D indoor panoramas to obtain high-quality 3D room layouts. Observing that fully-automatic methods are often restricted to a subset of indoor panoramas and generate room layouts with mediocre quality, we instead propose a hybrid method to recover high-quality room layouts by leveraging both automatic estimations and user edits. Specifically, our system first employs state-of-the-art methods to automatically extract 2D/3D features from input panorama, based on which an initial Manhattan world layout is estimated. Then, the user can further edit the layout structure via a set of intuitive operations, while the system will automatically refine the geometry according to the extracted features. The experimental results show that our automatic initialization outperforms a selected fully-automatic state-of-the-art method in producing room layouts with higher accuracy. In addition, our complete system reduces annotation time when comparing with a fully-manual tool for achieving the same high quality results.",
keywords = "Annotation, Layout, Modeling, Panorama, Scene",
author = "Yang, {Shang Ta} and Peng, {Chi Han} and Peter Wonka and Chu, {Hung Kuo}",
year = "2018",
month = dec,
day = "4",
doi = "10.1145/3283289.3283304",
language = "English",
series = "SIGGRAPH Asia 2018 Posters, SA 2018",
publisher = "Association for Computing Machinery, Inc",
booktitle = "SIGGRAPH Asia 2018 Posters, SA 2018",
note = "null ; Conference date: 04-12-2018 Through 07-12-2018",
}