Paper Info
Title
Analysis and optimization of pixel usage of light-field conversion from multi-camera setups to 3D light-field displays
Abstract
Light-field (LF) 3D displays require vast amount of views representing the original scene when using pure light-ray interpolation to convert multi-camera content to display-specific LF representation. Synthetic and real multi-camera setups are both used to feed these displays with image-based data, however the layout, number, frustum, and resolution of these cameras are mostly suboptimal. Storage and transmission of LF data is an issue, especially considering that some of the captured / rendered pixels are left unused while generating the final image. LF displays can have significantly different requirements for camera setups due to differences in Field of View (FOV), angular resolution and spatial resolution. An analysis of typical camera setups and LF display setups, and the typical patterns in pixel usage resulting from the combination of these setups are presented. Based on this analysis, an optimization method for virtual camera setups is proposed. As virtual cameras have wide range of adjustment possibilities, highly optimized setups for specific displays can be achieved.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025016
Image Processing
Keywords
Field
DocType
cameras,image representation,image resolution,interpolation,optimisation,three-dimensional displays,3D light-field displays,FOV,LF 3D displays,LF data storage,LF data transmission,angular resolution,camera frustum,camera layout,camera resolution,display-specific LF representation,field of view,image-based data,light-field conversion,light-ray interpolation,multicamera content,optimization method,pixel usage optimization,real multicamera setups,scene view representation,spatial resolution,synthetic multicamera setups,virtual camera setups,3D display,camera rig optimization,light-field display,multicamera capture
Field of view,Computer vision,Computer graphics (images),Computer science,Stereo display,Interpolation,Frustum,Light field,Angular resolution,Pixel,Artificial intelligence,Image resolution
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
9
6
Name
Order
Citations
PageRank
Péter Tamás Kovács1276.25
Kristóf Lackner221.52
Attila Barsi32211.84
Vamsi Kiran Adhikarla4172.99
Robert Bregovic514818.84
Atanas P. Gotchev622338.55