Title
Real-time adaptive content retargeting for live multi-view capture and light field display
Abstract
The discrete nature of multiprojector light field displays results in aliasing when rendering scene points at depths outside the supported depth of field causing visual discomfort. We propose an efficient on-the-fly content-aware real-time depth retargeting algorithm for live 3D light field video to increase the quality of visual perception on a cluster-driven multiprojector light field display. The proposed algorithm is embedded in an end-to-end real-time system capable of capturing and reconstructing light field from multiple calibrated cameras on a full horizontal parallax light field display. By automatically detecting salient regions of a scene, we solve an optimization to derive a non-linear operator to fit the whole scene within the comfortable viewing range of the light field display. We evaluate the effectiveness of our approach on synthetic and real world scenes.
Year
DOI
Venue
2015
10.1007/s00371-015-1127-6
The Visual Computer
Keywords
Field
DocType
On-the-fly depth retargeting, GPU, Multiprojector light field display, Visually enhanced live 3D video, Multi-view capture and display
Computer vision,Parallax,Computer graphics (images),Computer science,Retargeting,Light field,Aliasing,Artificial intelligence,Rendering (computer graphics),Visual perception,Salient,Depth of field
Journal
Volume
Issue
ISSN
31
6-8
1432-2315
Citations 
PageRank 
References 
1
0.36
18
Authors
4
Name
Order
Citations
PageRank
Vamsi Kiran Adhikarla1172.99
Fabio Marton274742.23
tibor balogh34912.10
Enrico Gobbetti4122294.01