计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 63-69.doi: 10.11896/j.issn.1002-137X.2018.08.011

• 2017 中国多媒体大会 • 上一篇    下一篇

一种将羽毛球比赛的2D视频转换到3D视频的算法

张新明1,2, 程金凤1, 康强1, 王霞1   

  1. 西安交通大学图像处理与模式识别研究所 西安710049
  • 收稿日期:2017-10-24 出版日期:2018-08-29 发布日期:2018-08-29
  • 作者简介:刘 杨(1993-),女,硕士生,主要研究方向为2D/3D视频转换,E-mail:yangliu5040@163.com; 齐 春(1955-),男,教授,博士生导师,主要研究方向为图像超分辨率增强、图像检测与跟踪、图像分析与识别,E-mail:qichun@mail.xjtu.edu.cn(通信作者); 杨静怡(1993-),女,硕士生,主要研究方向为机器学习和深度学习。
  • 基金资助:
    本文受国家自然科学基金(61572395,61133008)资助。

2D-to-3D Conversion Algorithm for Badminton Video

LIU Yang, QI Chun, YANG Jing-yi   

  1. Institute of Image Processing and Pattern Recognition,Xi’an Jiaotong University,Xi’an 710049,China
  • Received:2017-10-24 Online:2018-08-29 Published:2018-08-29

摘要: 文中提出一种羽毛球比赛的2D视频转换到3D视频的算法。在这类视频中,前景是最受关注的部分,准确地从背景中提取出前景对象是获取深度图的关键。文中采用一种改进的图割算法来获取前景,并根据场景结构构建背景深度模型,获取背景深度图;在背景深度图的基础上,根据前景与镜头之间的距离关系为前景对象进行深度赋值,从而得到前景深度图。然后,融合背景深度图和前景深度图,得到完整的深度图。最后,通过基于深度图像的虚拟视点绘制技术DIBR来获取用于3D显示的立体图像对。实验结果表明,最终生成的立体图像对具有较好的3D效果。

关键词: 3D转换, DIBR, 改进的图割算法, 深度图的提取, 羽毛球比赛视频

Abstract: This paper proposed a 2D-to-3D conversion algorithm for badminton video.The most attractive part of badminton video is the foreground.The core of the depth map extraction is to separate the foreground objects accurately from the background.The improved grab cut segmentation algorithm is used to extract foreground regions.A model for the background depth is constructed based on the structure of scene.The depth value is assigned for foreground based on the distance of scene objects from the viewpoint and the background depth map.Then the depth of foreground and background are merged.Finally,the synthesized stereo pairs of images for 3D display are obtained by DIBR formula.The experimental results show that the generated stereo images have good 3D perception performance.

Key words: 3D conversion, Badminton video, Depth map extraction, DIBR, Improved grab cut segmentation

中图分类号: 

  • TN911.73
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