O. Nakagami
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
Whom O. Nakagami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from O. Nakagami's perspective
Ordered by how strongly the researchers O. Nakagami trusts endorse each paper. Same corpus, a different order for every researcher.
- A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- A volumetric method for building complex models from range images
- Geometry images
- Overview of the High Efficiency Video Coding (HEVC) Standard
- Geometric modeling using octree encoding
- Calculation of Average PSNR Differences between RD-curves
- Joint 2D-3D-Semantic Data for Indoor Scene Understanding
- google,我,萨娜
- The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
- Real-time compression of point cloud streams (IEEE International Conference on Robotics and Automation)
Their papers
- An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC) (2020) — 488 citations
- Emerging MPEG Standards for Point Cloud Compression (2019) — 737 citations