Paper Info
Title
Super-Resolution Plane Sweeping For Free-Viewpoint Image Synthesis
Abstract
Free-viewpoint image synthesis (FVIS) refers to the process of generating novel viewpoint images from a set of multi-view images. Most of the conventional FVIS methods were based on image blending, so that they are subject to a fundamental limitation in resolution: the output resolution is lower than or at most equal to that of the input images. A reasonable approach to overcome this limitation is to replace image blending with reconstruction-based super-resolution. Following this idea, we propose a new FVIS method named as super-resolution plane sweeping by extending general plane sweeping methods. We also propose an adaptive weighting scheme to make super-resolution reconstruction operate only on the pixels where it improve the quality. Experimental results with real images are presented to show the effectiveness of our method.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6115860
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Keywords
Field
DocType
Free-viewpoint image, Super-resolution, 3-D imaging
Iterative reconstruction,Computer vision,Adaptive weighting,Computer science,Image plane,Image synthesis,Pixel,Artificial intelligence,Real image,Superresolution,Image resolution
Conference
ISSN
Citations 
PageRank 
1522-4880
2
0.40
References 
Authors
6
3
Name
Order
Citations
PageRank
Keita Takahashi18212.04
Masato Ishii252.82
Takeshi Naemura361195.07