吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 317-321.

• 论文 • 上一篇    下一篇

基于图像分割和可变窗的联合立体匹配

胡汉平1,2,3, 朱明1, 吉淑娇1,2, 郭滨3   

  1. 1. 中国科学院 长春光学精密机械与物理研究所,长春 130033;
    2. 中国科学院 研究生院,北京100039;
    3. 长春理工大学,长春 130022
  • 收稿日期:2012-07-03 发布日期:2013-06-01
  • 作者简介:胡汉平(1980-),男,中国科学院博士研究生.研究方向:计算机视觉、数字图像处理.E-mail:custhhp@163.com
  • 基金资助:

    吉林省自然科学基金项目(201215133) .

Joint stereo matching based on image segmentation and variable windows

HU Han-ping1,2,3, ZHU Ming1, JI Shu-jiao1,2, GUO Bin3   

  1. 1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
    2. Graduate School, Chinese Academy of Sciences, Beijing, 100039, China;
    3. Changchun University of Science and Technology, Changchun, 130022, China
  • Received:2012-07-03 Published:2013-06-01

摘要:

提出一种基于图像分割和可变窗的联合立体匹配算法。首先对参考图像和目标图像进行图像分割,根据视差在同一色彩分割区域平滑的假设,计算出分割区域的匹配代价;然后由窗口内的匹配误差均值、误差方差、偏向误差确定最佳可变窗并求出其匹配代价;最后综合两类匹配代价通过局部优化方法获得稠密视差图。实验结果表明,该算法能够较好的处理低纹理和深度不连续区域,得到较高匹配精度的同时降低了匹配时间。

关键词: 联合立体匹配, 视差, 图像分割, 可变窗, 匹配代价

Abstract:

A stereo matching based on image segmentation and variable windows is presented was proposed.Firstly,the reference and the target image was segmented based on the color information,according to the hypothesis of disparity in the same color segmentation region smooth,the matching cost of segmented regions was calculated,and then the matching cost of the best variable windows was calculated through the average matching errors,error variance and biases error,at last,two categories matching cost were merged and the dense disparity map was abtained through local optimization.Experimental results show that the algorithm can get a good effect on low texture and discontinuous depth region,not only achieves high accuracy but also has shorter matching time.

Key words: joint stereo matching, disparity, image segmentation, variable windows, matching cost

中图分类号: 

  • Q811.9

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