J4 ›› 2011, Vol. 38 ›› Issue (5): 73-78.doi: 10.3969/j.issn.1001-2400.2011.05.012

• 研究论文 • 上一篇    下一篇

利用边缘像素深度特性的深度估计方法

刘晓仙;常义林;李志斌;元辉   

  1. (西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安  710071)
  • 收稿日期:2010-10-05 出版日期:2011-10-20 发布日期:2012-01-14
  • 通讯作者: 刘晓仙
  • 作者简介:刘晓仙(1984-),女,西安电子科技大学博士研究生,E-mail: xiaoxian_liu@126.com
  • 基金资助:

    国家自然科学基金资助项目(61001205,60902081,60902052);高等学校学科创新引智计划资助项目(B08038);西安电子科技大学基本科研业务费资助项目(72105457);西电-高通联合研究资助项目

Depth characteristic of the edge pixels based depth estimation method

LIU Xiaoxian;CHANG Yilin;LI Zhibin;YUAN Hui   

  1. (State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China)
  • Received:2010-10-05 Online:2011-10-20 Published:2012-01-14
  • Contact: LIU Xiaoxian

摘要:

为了提高物体边缘处像素的深度估计准确性,改善任意视点电视系统中合成虚拟视图质量,提出一种新颖的深度估计方法.该方法首先充分利用物体边缘像素的深度特性,将视图中的像素划分为3类,然后为每类像素提出相应的匹配代价函数的平滑项.与现有的基于边缘辅助信息的半自动深度估计方法相比,本方法有效提高了物体边缘处像素的深度估计准确性,在任意视点电视(FTV)系统接收端合成的虚拟视图客观质量PSNR平均提高0.32dB.

关键词: 任意视点电视, 深度估计, 虚拟视图, 深度特性

Abstract:

To improve the depth estimation precision at the object edges, a novel depth characteristic of the edge pixels based depth estimation method(DCE-SADE) is proposed . In the proposed method, based on the depth characteristics of the object edges, the pixels in the image are firstly divided into three categories, and then the corresponding smoothing terms of the matching cost function are derived. Experimental results have shown that compared with the existing edge information based semi-automatic depth estimation method(E-SADE) in the free-viewpoint television (FTV) system, the proposed method can greatly improve the depth estimation precision at the object edges, and that the PSNR of the synthesized virtual view based on the proposed method can be improved to a certain extent with an average of 0.32dB in the receiver of the FTV system.

Key words: FTV, depth estimation, virtual view, depth characteristic

中图分类号: 

  • TN919.8