DocumentCode
3708129
Title
Multi-modal big-data management for film production
Author
Hansung Kim;Simon Pabst;Justin Sneddon;Ted Waine;Jeff Clifford;Adrian Hilton
Author_Institution
CVSSP, University of Surrey, Guildford, Surrey, UK
fYear
2015
Firstpage
4833
Lastpage
4837
Abstract
Modern digital film production uses large quantities of data from videos, digital photographs, LIDAR scans, spherical photography and many other sources to create the final film frames. The processing and management of this massive amount of heterogeneous data consumes enormous resources. We propose an integrated pipeline for 2D/3D data registration for film production. We present the prototype application Jigsaw, which allows users to efficiently manage and process various data from digital photographs to 3D point clouds. A key requirement in the use of multi-modal 2D/3D data for content production is the registration into a common coordinate frame. 3D geometric information is reconstructed from 2D data and registered to the reference 3D models using 3D feature matching. We provide a public multi-modal database captured with a wide variety of devices in different environments to assist further research. An order of magnitude gain in efficiency is achieved with the proposed approach.
Keywords
"Three-dimensional displays","Laser radar","Production","Cameras","Pipelines","Feature extraction","Videos"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICIP.2015.7351725
Filename
7351725
Link To Document