Paper Info
Title
Applications Of The Vola Format For 3d Data Knowledge Discovery.
Abstract
VOLA is a compact data structure that unifies computer vision and 3D rendering and allows for the rapid calculation of connected components, per-voxel census/accounting, CNN inference, path planning and obstacle avoidance. Using a hierarchical bit array format allows it to run efficiently on embedded systems and maximize the level of data compression. The proposed format allows massive scale volumetric data to be used in embedded applications where it would be inconceivable to utilize point-clouds due to memory constraints. Furthermore, geographical and qualitative data is embedded in the file structure to allow it to be used in place of standard point cloud formats. This work examines the reduction in file size when encoding 3D data using the VOLA format and finds that it is an order of magnitude smaller than the current binary standard for point cloud data.
Year
Venue
Keywords
2017
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
Point Clouds, Embedded Systems, Auralisation, Deep Learning, GIS
Field
DocType
Citations 
File format,Data structure,Computer science,File size,Memory management,Knowledge extraction,Artificial intelligence,Point cloud,Data compression,Bit array,Computer engineering,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
11
7
Name
Order
Citations
PageRank
Jonathan Byrne100.68
Sam Caulfield201.01
Leonie Buckley300.34
Xiaofan Xu452.14
Dexmont Peña522.10
Gary Baugh600.34
David Moloney7127.69