Fast gradient-based mesh generation method for the stereo image representation

Ilkwon Park, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a fast gradient-based mesh generation method for the stereo image representation. In our approach, right image in stereo image and intermediate views are fundamentally predicted and synthesized from left image by 2D image warping using regular mesh and vice versa. To overcome texture distortion on object boundaries and preserve texture smoothness of homogenous areas, we propose node selection on the strong edges in the gradient map. Furthermore, the selected nodes are evaluated by stereo matching error and validated by cross validation for nodal disparity. Each node point is iteratively moving along the pixels with high gradient value instead every point to find the optimal node position. Therefore, our approach provides a fast mesh optimization as well as a reliable image quality. The experimental results show that the proposed approach provides computational efficiency and high PSNR of prediction image compared to previous methods.

Original languageEnglish
Title of host publication3DTV-CON 2009 - 3rd 3DTV-Conference
Subtitle of host publicationThe True Vision - Capture, Transmission and Display of 3D Video, Proceedings
DOIs
Publication statusPublished - 2009
Event3rd 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2009 - Potsdam, Germany
Duration: 2009 May 42009 May 6

Publication series

Name3DTV-CON 2009 - 3rd 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, Proceedings

Other

Other3rd 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2009
CountryGermany
CityPotsdam
Period09/5/409/5/6

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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