DC Field | Value | Language |
---|---|---|
dc.contributor.author | Meuleman, Andreas | ko |
dc.contributor.author | Jang, Hyeongjoong | ko |
dc.contributor.author | Jeon, Daniel | ko |
dc.contributor.author | Kim, Min Hyuk | ko |
dc.date.accessioned | 2021-06-10T07:30:20Z | - |
dc.date.available | 2021-06-10T07:30:20Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.created | 2021-06-10 | - |
dc.date.created | 2021-06-10 | - |
dc.date.created | 2021-06-10 | - |
dc.date.created | 2021-06-10 | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2021-06-24 | - |
dc.identifier.citation | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.identifier.issn | 1063-6919 | - |
dc.identifier.uri | http://hdl.handle.net/10203/285736 | - |
dc.description.abstract | A set of cameras with fisheye lenses have been used to capture a wide field of view. The traditional scan-line stereo algorithms based on epipolar geometry are directly inapplicable to this non-pinhole camera setup due to optical characteristics of fisheye lenses; hence, existing complete 360◦ RGB-D imaging systems have rarely achieved realtime performance yet. In this paper, we introduce an efficient sphere-sweeping stereo that can run directly on multiview fisheye images without requiring additional spherical rectification. Our main contributions are: First, we introduce an adaptive spherical matching method that accounts for each input fisheye camera’s resolving power concerning spherical distortion. Second, we propose a fast inter-scale bilateral cost volume filtering method that refines distance in noisy and textureless regions with optimal complexity of O(n). It enables real-time dense distance estimation while preserving edges. Lastly, the fisheye color and distance images are seamlessly combined into a complete 360◦ RGB-D image via fast inpainting of the dense distance map. We demonstrate an embedded 360◦ RGB-D imaging prototype composed of a mobile GPU and four fisheye cameras. Our prototype is capable of capturing complete 360◦ RGB-D videos with a resolution of two megapixels at 29 fps. Results demonstrate that our real-time method outperforms traditional omnidirectional stereo and learning-based omnidirectional stereo in terms of accuracy and performance. | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images | - |
dc.type | Conference | - |
dc.identifier.wosid | 000742075001060 | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Virtual | - |
dc.identifier.doi | 10.1109/CVPR46437.2021.01126 | - |
dc.contributor.localauthor | Kim, Min Hyuk | - |
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