吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (4): 1318-1323.doi: 10.13229/j.cnki.jdxbgxb201504042

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基于双权重聚合的立体匹配算法

何凯, 朱程涛, 姚静娴   

  1. 天津大学 电子信息工程学院,天津 300072
  • 收稿日期:2014-11-26 出版日期:2015-07-01 发布日期:2015-07-01
  • 作者简介:何凯(1972-),男,副教授,博士.研究方向:数字图像及视频修复,电子稳像,图像拼接,纹理识别.E-mail:hekai626@163.com
  • 基金资助:
    国家自然科学基金项目(61271326)

Stereo matching algorithm based on double weighting aggregation

HE Kai, ZHU Cheng-tao, YAO Jing-xian   

  1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
  • Received:2014-11-26 Online:2015-07-01 Published:2015-07-01

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摘要： 针对传统的局部立体匹配算法通常采用基于窗口聚合匹配的方法获得视差图,采用分割与平面拟合的方法进行视差精炼,算法性能过度依赖于窗口尺寸、分割与数据拟合的精度的问题,提出了基于双边滤波的双权重聚合方法,利用快速匹配代价的方法进行聚合,在视差精炼阶段采用双曲线平滑聚合匹配代价的策略;这种不依赖于窗口大小的算法有利于提高匹配精度。仿真实验结果表明,本文算法在低纹理区域和深度不连续区域均得到了较高的立体匹配精度;针对实际场景进行的立体匹配,可以得到较高精度的视差图及三维重建效果。

关键词: 通信技术, 立体匹配, 权重聚合, 快速代价聚合, 视差精炼, 三维重建

Abstract: In traditional local matching algorithms, the window-based aggregation methods are usually used to obtain disparity map; also, the segmentation and plane fitting methods are used in disparity refinement. The performance of the algorithms is greatly dependent on the window size, and precision of segmentation and data fitting methods. In this paper, a stereo matching algorithm based bilateral filter is proposed, which is called double weighting aggregation. The fast cost aggregation method and hyperbola are employed to smooth the matching cost. The proposed algorithm is beneficial to improve the stereo matching accuracy since it is independent on the window size. The simulation results show that the proposed algorithm can obtain higher accuracy disparity map in low-texture and depth discontinuity regions. Besides, superior disparity map and 3D reconstruction results are also achieved in real stereo images.

Key words: communication, stereo matching, weighted aggregation, fast cost aggregation, disparity refinement, 3D reconstruction

中图分类号: 

  • TN91
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