The rapid increase in the performance of graphics hardware, coupled with recent
improvements in its programmability, have made graphics hardware a compelling platform …

With today's advanced 3D scanner technology, huge amounts of point cloud data can be
generated in short amounts of time. Data compression is thus necessary for storage and …

In this paper, we propose a generic point cloud encoder that provides a unified framework
for compressing different attributes of point samples corresponding to 3D objects with an …

We propose a generic point cloud encoder that compresses geometry data including
positions and normals of point samples corresponding to 3D objects with arbitrary topology …

We present an algorithm to display enormous unprocessed point clouds at interactive rates
without requiring long postprocessing. The novelty here is that we do not make any …

In this work we propose an algorithm for compressing the geometry of a 3D point cloud (3D
point-based model). The proposed algorithm is based on the hierarchical clustering of the …

We present a generic framework for compression of densely sampled three‐dimensional
(3D) surfaces in order to satisfy the increasing demand for storing large amounts of 3D …

Both ray tracing and point-based representations provide means to efficiently display very
complex 3D models. Computational efficiency has been the main focus of previous work on …

During the last decade the increased use of laser range-scanners for sampling the
environment has led to gigantic point cloud data sets. Due to the size of such data sets, tasks …

In this work, a novel scheme is proposed to compress human motion capture data based on
hierarchical structure construction and motion pattern indexing. For a given sequence of 3D …