11 accepted papers
An object wave is a suitable intermediate representation format for transmitting holographic application data because it is compatible with various playback devices. However, compressing the phase component of the object wave presents challenges due to its unique signal characteristics, i.e., period…
In real-time applications utilizing point clouds, no-reference point cloud quality assessment (NR-PCQA) methods are essential to improve the accuracy of downstream tasks. For example, in point cloud denoising, NR-PCQA results can be benchmarks for determining the optimal parameters when reference da…
Point clouds are utilized in various 3D applications such as cross-reality (XR) and realistic 3D displays. In some applications, e.g., for live streaming using a 3D point cloud, real-time point cloud denoising methods are required to enhance the visual quality. However, conventional high-precision d…
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…
Point cloud applications suffer from geometric noise caused by measurement errors induced by the point cloud acquisition system. We propose a novel graph construction method, surface-consistent non-negative kernel regression (SC-NNK), that can achieve more accurate denoising of geometry information…
Point clouds are utilized in many 3-D applications such as cross-reality (XR) and realistic 3-D display. They consist of a set of points with 3-D coordinates and associated color signals. These color signals are often perturbed by noise induced by the measurement errors of scanning devices. In this…
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…
We introduce chroma subsampling for 3D point cloud attribute compression by proposing a novel technique to sample points irregularly placed in 3D space. While most current video compression standards use chroma subsampling, these chroma subsampling methods cannot be directly applied to 3D point clou…
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…
In this paper, we report on a parallel free-viewpoint video synthesis algorithm that can efficiently reconstruct a high-quality 3D scene representation of sports scenes. The proposed method focuses on a scene that is captured by multiple synchronized cameras featuring wide-baselines. The following s…
Recently, non-fixed camera-based free viewpoint sports video synthesis has become very popular. Camera calibration is an indispensable step in free viewpoint video synthesis, and the calibration has to be done frame by frame for a non-fixed camera. Thus, calibration speed is of great significance in…