LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network

3D room layout estimation by a single panorama using deep neural networks has made great progress. However, previous approaches can not obtain efficient geometry awareness of room layout with the only latitude of boundaries or horizon-depth. We present that using horizondepth along with room height...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 1644 - 1653
Hauptverfasser:	Jiang, Zhigang, Xiang, Zhongzheng, Xu, Jinhua, Zhao, Ming
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	3D from single images; Datasets and evaluation; Deep learning architectures and techniques; Photogrammetry and remote sensing; Recognition: detection categorization Deep learning Estimation Geometry grouping and shape analysis; Vision applications and systems Layout Neural networks retrieval; Robot vision; Scene analysis and understanding; Segmentation Solid modeling Three-dimensional displays
ISSN:	1063-6919
Online-Zugang:	Volltext
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