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Stereo Matching Based on Improved Census Transform and Regional Aggregation
更新时间：2024-05-16
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    • Stereo Matching Based on Improved Census Transform and Regional Aggregation

    • “科技新闻记者报道，立体匹配领域取得新突破。研究团队针对Census变换算法的不足，提出改进算法。通过降序排序像素点、Hamming距离计算及加权融合亮度差异，提升了匹配精度。再根据图像梯度划分区域进行代价聚合，优化视差图。实验显示，新算法在Middlebury V3.0平台上的平均误差下降2.95%，展现高匹配精度及鲁棒性。”
      ”
    • Software Guide   Vol. 23, Issue 4, Pages: 164-170(2024)

    • DOI：10.11907/rjdk.231318    

      CLC： TP391.41

    • Published：15 April 2024，

      Received：08 April 2023，

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  • HU Xinli,ZHOU Feng,GUO Naihong,et al.Stereo Matching Based on Improved Census Transform and Regional Aggregation[J].Software Guide,2024,23(04):164-170. DOI： 10.11907/rjdk.231318.

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