Kyohei Unno — accepted AI-conference papers

2024

SCP: Spherical-Coordinate-Based Learned Point Cloud Compression

Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto +1

AAAI 2024technical

In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, LiDAR point cloud, is generated by spinning LiDAR on vehicles. This process results in numerous circular shapes and azimuthal angle invariance features within the point clouds. Howev…

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2023

Rate-Distortion Optimized Variable-Node-size Trisoup for Point Cloud Coding

Kyohei Unno, Kohei Matsuzaki, Satoshi Komorita, Kei Kawamura

ICASSP 2023accepted

Triangle soup (Trisoup) is being studied as a new coding tool for Geometry-based Point Cloud Compression (G-PCC) stan-dardized in the Moving Picture Experts Group (MPEG). Outside of MPEG, a variable-node-size extension of Trisoup is studied to increase the flexibility of G-PCC. A primary advantage o…

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