PanoAnnotator
Autor: | Peter Wonka, Shang-Ta Yang, Chi-Han Peng, Hung-Kuo Chu |
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Rok vydání: | 2018 |
Předmět: |
Structure (mathematical logic)
Panorama Computer science business.industry media_common.quotation_subject Initialization 02 engineering and technology Set (abstract data type) Annotation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Quality (business) Artificial intelligence Semi automatic business media_common |
Zdroj: | SIGGRAPH ASIA Posters |
DOI: | 10.1145/3283289.3283304 |
Popis: | 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. |
Databáze: | OpenAIRE |
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