Image quality enhancement in arbitrary viewpoint image synthesis by the sparse sampling

KAKEN

About This Project

Japan Grant Number
JP23700217 (JGN)
Funding Program
Grants-in-Aid for Scientific Research
Funding Organization
Japan Society for the Promotion of Science

Kakenhi Information

Project/Area Number
23700217
Research Category
Grant-in-Aid for Young Scientists (B)
Allocation Type
  • Multi-year Fund
Review Section / Research Field
  • Integrated Science and Innovative Science > Comprehensive Fields > Informatics > Perception information processing/Intelligent robotics
Research Institution
  • Tokyo University of Science
Project Period (FY)
2011 〜 2012
Project Status
Completed
Budget Amount*help
2,210,000 Yen (Direct Cost: 1,700,000 Yen Indirect Cost: 510,000 Yen)

Research Abstract

Major problems of traditional methods to synthesize virtual-view images are that it is difficult to precisely complete missing pixels in synthesized images and that it requires huge amount of data storage and computational efforts. In this research, we propose methods to overcome these difficulties by using techniques of the sparse sampling and the compressed sensing. Experimental results show the validity of the proposed methods qualitatively and quantitatively

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