Recent advances in brain imaging techniques, measurement approaches, and storage
capacities have provided an unprecedented supply of high temporal resolution neural data …

In free-viewpoint video, there is a recent trend to represent scene objects as solids rather
than using multiple depth maps. Point clouds have been used in computer graphics for a …

This paper addresses the problem of compression of 3D point cloud sequences that are
characterized by moving 3D positions and color attributes. As temporally successive point …

This paper presents methods to analyze functional brain networks and signals from graph
spectral perspectives. The notion of frequency and filters traditionally defined for signals …

Dynamic point clouds are a potential new frontier in visual communication systems. A few
articles have addressed the compression of point clouds, but very few references exist on …

Due to the enormous volume of point cloud data, transmitting and storing the data requires
large bandwidth and storage space. It could be a critical bottleneck, especially in tasks such …

3D point clouds associated with attributes are considered as a promising paradigm for
immersive communication. However, the corresponding compression schemes for this …

Volumetric media, popularly known as holograms, need to be delivered to users using both
on-demand and live streaming, for new augmented reality and virtual reality experiences. As …

A novel non-iterative denoising technique combining spectral graph wavelet transform and
detrended fluctuation analysis is proposed to solve the filtering problem of non-linear and …

We propose using stationary Gaussian processes (GPs) to model the statistics of the signal
on points in a point cloud, which can be considered samples of a GP at the positions of the …