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Polygon Detection f...
Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
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- Gillsjö, David (författare)
- Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: AI och digitalisering,LTH profilområden,Datorseende och maskininlärning,Forskargrupper vid Lunds universitet,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH,Computer Vision and Machine Learning,Lund University Research Groups
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- Flood, Gabrielle (författare)
- Lund University,Lunds universitet,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,Datorseende och maskininlärning,Forskargrupper vid Lunds universitet,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH,Computer Vision and Machine Learning,Lund University Research Groups
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- Åström, Kalle (författare)
- Lund University,Lunds universitet,Mathematical Imaging Group,Forskargrupper vid Lunds universitet,Stroke Imaging Research group,LTH profilområde: AI och digitalisering,LTH profilområden,Lunds Tekniska Högskola,LTH profilområde: Teknik för hälsa,LU profilområde: Ljus och material,Lunds universitets profilområden,LU profilområde: Naturlig och artificiell kognition,LU profilområde: Proaktivt åldrande,LU profilområde: Naturbaserade framtidslösningar,Datorseende och maskininlärning,Lund University Research Groups,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH,LTH Profile Area: Engineering Health,Faculty of Engineering, LTH,LU Profile Area: Light and Materials,Lund University Profile areas,LU Profile Area: Natural and Artificial Cognition,LU Profile Area: Proactive Ageing,LU Profile Area: Nature-based future solutions,Computer Vision and Machine Learning
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(creator_code:org_t)
- 2023
- 2023
- Engelska 10 s.
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Ingår i: Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. - 9798350307443 ; , s. 1-10
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks and is built on, combines and further develops several different modules from previous research. The network takes an RGB image and estimates a wireframe as well as a feature space using an hourglass backbone. From these, line and junction features are sampled. The lines and junctions are then represented as an undirected graph, from which polygon representations of the sought planes are obtained. Two different methods for this last step are investigated, where the most promising method is built on a heterogeneous graph transformer. The final output is in all cases a projection of the semantic planes in 2D. The methods are evaluated on the Structured3D dataset and we investigate the performance both using sampled and estimated wireframes. The experiments show the potential of the graph-based method by outperforming state of the art methods in Room Layout estimation in the 2D metrics using synthetic wireframe detections.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Graph Neural Network
- Polygon detection
- Room Layout Estimation
- Wireframe Parsing
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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