An improved dense stereo matching algorithm based on region growing

CHEN You-qing; YUAN Jian-ying; LI Bai-lin; WANG Qiong

doi:10.13873/j.1000-97872013.10.033

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An improved dense stereo matching algorithm based on region growing

更新时间：2025-09-11

- An improved dense stereo matching algorithm based on region growing
- Vol. 32, Issue 10, Pages: 118-120+125(2013)
- 作者机构：
  
  1. 西南交通大学机械工程学院
  2. 昆明学院自动控制与机械工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872013.10.033
  CLC： TP391.41
- Published：2013
- 稿件说明：
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[1]陈友庆,袁建英,李柏林,王琼.一种改进的基于区域增长的稠密立体匹配算法[J].传感器与微系统,2013,32(10):118-120+125.

CHEN You-qing, YUAN Jian-ying, LI Bai-lin, et al. An improved dense stereo matching algorithm based on region growing[J]. 2013, 32(10): 118-120+125.
[1]陈友庆,袁建英,李柏林,王琼.一种改进的基于区域增长的稠密立体匹配算法[J].传感器与微系统,2013,32(10):118-120+125. DOI： 10.13873/j.1000-97872013.10.033.

CHEN You-qing, YUAN Jian-ying, LI Bai-lin, et al. An improved dense stereo matching algorithm based on region growing[J]. 2013, 32(10): 118-120+125. DOI： 10.13873/j.1000-97872013.10.033.

摘要

针对传统区域增长稠密匹配算法存在匹配效率低、误差大的问题

提出一种改进的区域增长稠密匹配算法。首先以BRISK特征点作为区域增长的种子点

采用纹理图像降低不同视角下图像局部光照不均对匹配的影响

再通过方向性约束与极线距离约束准则减小自适应搜索窗范围。实验表明:所提出的算法较传统算法有更高的匹配精度、更大的匹配范围。

Abstract

Aiming at problem of low matching efficiency and large error of dense stereo matching algorithm based on traditional region growing

an improved dense stereo matching algorithm is presented based on the technique of region growing.Firstly

BRISK feature points are considered to be the seed points of region growing

and texture images are used to reduce the impact of varying illumination in local area in different perspectives views

then the constraint criterion of direction and epipolar line distance is added to narrow the range of the adaptive searching window.Experiment demonstrates that the algorithm has higher matching precision and wider matching range than traditional one.

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references

利用外极线约束的图像匹配新算法 [J]. 邓志燕,陈炽坤. 工程图学学报 . 2009(05)

基于区域增长的自适应窗口立体匹配算法 [J]. 罗三定,陈海波. 中南大学学报(自然科学版) . 2005(06)

计算机视觉与模式识别[M]. 国防工业出版社 , 郑南宁著, 1998

Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing [J] . Luminita A. Vese,Stanley J. Osher. Journal of Scientific Computing . 2003 (1)

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