High-quality 2D to 3D video conversion based on robust MRF-based object tracking and reliable graph-cut-based contour refinement

Joonsoo Kim, Yoonsik Choe, Yongoo Kim

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

2 Citations (Scopus)


Generation of object-boundary-matched depth map is important to semi-automatic 2D to 3D conversion for high quality perception of converted 3D video. This paper proposes an accurate depth map generation method using an MRF-based initial contour tracking followed by a robust graph-cut-based contour refinement. The proposed MRF-based contour tracking puts a constraint on the variation of angular-radial distance for robust modeling of object motion in the presence of shape deformation. In addition, the proposed contour refinement eliminates ambiguous seeds, which might cause confusion in graph-cut segmentation, resulting in accurate contour in the presence of complex background. Experiment results show the superior tracking performance of the proposed scheme, especially when there is complex background and/or object deformation, indicating the power of the proposed scheme in object-boundary- matched accurate depth map generation.

Original languageEnglish
Title of host publication2011 International Conference on ICT Convergence, ICTC 2011
Number of pages6
Publication statusPublished - 2011 Dec 23
Event2011 International Conference on ICT Convergence, ICTC 2011 - Seoul, Korea, Republic of
Duration: 2011 Sep 282011 Sep 30


Other2011 International Conference on ICT Convergence, ICTC 2011
CountryKorea, Republic of


All Science Journal Classification (ASJC) codes

  • Information Systems

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