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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03570naa a2200313 4500 | |
| 001 | oai:lup.lub.lu.se:9852dc4e-c152-4a04-8ecd-dc8cf4b751f3 | |
| 003 | SwePub | |
| 008 | 220923s2022 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://lup.lub.lu.se/record/9852dc4e-c152-4a04-8ecd-dc8cf4b751f32 URI |
| 024 | 7 | a https://doi.org/10.1109/ICPR56361.2022.99562522 DOI |
| 040 | a (SwePub)lu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a kon2 swepub-publicationtype |
| 072 | 7 | a ref2 swepub-contenttype |
| 100 | 1 | a Gillsjö, Davidu Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: AI och digitalisering,LTH profilområden,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, LTH4 aut0 (Swepub:lu)da7727gi |
| 245 | 1 0 | a Semantic Room Wireframe Detection from a Single View |
| 264 | 1 | c 2022 |
| 520 | a Reconstruction of indoor surfaces with limited texture information or with repeated textures, a situation common in walls and ceilings, may be difficult with a monocular Structure from Motion system. We propose a Semantic Room Wireframe Detection task to predict a Semantic Wireframe from a single perspective image. Such predictions may be used with shape priors to estimate the Room Layout and aid reconstruction. To train and test the proposed algorithm we create a new set of annotations from the simulated Structured3D dataset. We show qualitatively that the SRW-Net handles complex room geometries better than previous Room Layout Estimation algorithms while quantitatively out-performing the baseline in non-semantic Wireframe Detection. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng |
| 700 | 1 | a Flood, Gabrielleu Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: AI och digitalisering,LTH profilområden,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, LTH4 aut0 (Swepub:lu)ga4756fl |
| 700 | 1 | a Åström, Kalleu Lund University,Lunds universitet,Mathematical Imaging Group,Forskargrupper vid Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Stroke Imaging Research group,LTH profilområde: AI och digitalisering,LTH profilområden,LTH profilområde: Teknik för hälsa,Lund University Research Groups,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,LTH Profile Area: Engineering Health,Faculty of Engineering, LTH4 aut0 (Swepub:lu)math-kas |
| 710 | 2 | a Matematik LTHb Matematikcentrum4 org |
| 773 | 0 | t 26th International Conference on Pattern Recognition, 2022g , s. 1886-1893q <1886-1893z 9781665490634z 9781665490627 |
| 856 | 4 | u https://arxiv.org/abs/2206.00491x freey FULLTEXT |
| 856 | 4 | u http://dx.doi.org/10.1109/ICPR56361.2022.9956252y FULLTEXT |
| 856 | 4 8 | u https://lup.lub.lu.se/record/9852dc4e-c152-4a04-8ecd-dc8cf4b751f3 |
| 856 | 4 8 | u https://doi.org/10.1109/ICPR56361.2022.9956252 |
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