Abstract :
In recent years, the concept of 3D point cloud, which is a new approach on this subject, has entered the literature. This concept, which is based on the representation of objects as 3D point for processing, analysis or promotion operations on computer, is preferred with its flexible structure, simplicity, strong representation ability and easy availability. Considering the studies that can be done in this area, studies have been carried out on the development of data collection devices in this area. The Kinect camera, developed by Microsoft, is one of the most preferred devices in this field. The aim of this study is to apply compression algorithms to the data obtained from Kinect applications and to compare the obtained results. In this way, the data obtained by compression can be more easily transmitted and processed. The results obtained also offer suggestions for the applications to be developed after the study. Erdal Erdal "3D Point Cloud Storage Options: A Comparison with a Kinect Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18877.pdf Paper URL: http://www.ijtsrd.com/computer-science/other/18877/3d-point-cloud-storage-options-a-comparison-with-a-kinect-data/erdal-erdal
Keyword :
3D Point Cloud, Kinect, Compression Algorithms, Bzip2