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Haruhisa Kato

3 accepted papers

2022

Graph-Based Point Cloud Denoising Using Shape-Aware Consistency For Free-Viewpoint Video

ICASSP 2022accepted

We propose a novel graph-based denoising method to correct the quantization error (step noise) arising in the process of generating the visual hull, a commonly used technique to synthesize free-viewpoint video. To reduce this step noise effectively, we propose two new notions of consistency, pixel v…

Cited by 0SourceScholar
2022

Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage

ICASSP 2022accepted

Many applications that use point clouds, such as 3D immersive telepresence, suffer from geometric quality degradation. This noise may be caused by measurement errors of the capturing device or by the point cloud estimation method. In this paper, we propose a novel graph-based point cloud denoising a…

Cited by 0SourceScholar