Earticle

초록

영어

Recent advances in 3D have increased the importance of stereoscopic content creation and processing. Therefore, converting existing 2D contents into 3D contents is very important for growing 3D market. The most difficult task in 2D-to-3D conversion is estimating depth map from a single-view image. Thus, in this paper, we propose a novel algorithm to estimate the map by simulating haze as a global image feature. Besides, the visual artifacts of the synthesized left- and right-views can also be effectively eliminated by recovering the separation and loss of foreground objects in the proposed algorithm. Experimental results show that our algorithm can produce a good 3D stereoscopic effect and prevent the separation and loss artifacts with low computational complexity.

목차

Abstract
 1. Introduction
 2. Our Objective
 3. Proposed Algorithm
  3.1. Algorithm Procedure
  3.2. Pseudo Depth Map Estimation
  3.3 3D Image Visualization using Depth Map-based Rendering
 4. Separation and Loss Problem
 5. Experimental Results
  5.1 Qualitative Comparison
  5.2. Quantitative Evaluation
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Fan Guo [ School of Information Science and Engineering, Central South University, Changsha, Hunan, China ]
• Jin Tang [ School of Information Science and Engineering, Central South University, Changsha, Hunan, China ]
• Hui Peng [ School of Information Science and Engineering, Central South University, Changsha, Hunan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605