Pittaluga et al., 2019 - Google Patents
- ️Tue Jan 01 2019
Pittaluga et al., 2019
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Document ID
- 10774461944348823132 Author
- Koppal S
- Kang S
- Sinha S Publication year
- 2019 Publication venue
- Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
External Links
Snippet
Many 3D vision systems localize cameras within a scene using 3D point clouds. Such point clouds are often obtained using structure from motion (SfM), after which the images are discarded to preserve privacy. In this paper, we show, for the first time, that such point clouds …
- 230000001788 irregular 0 abstract description 5
Classifications
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- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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