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首页> 外文期刊>ScientificWorldJournal >Disparity Map Generation from Illumination Variant Stereo Images Using Efficient Hierarchical Dynamic Programming
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Disparity Map Generation from Illumination Variant Stereo Images Using Efficient Hierarchical Dynamic Programming

机译：使用有效的分层动态编程从照明变体立体声图像生成差异图

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A novel hierarchical stereo matching algorithm is presented which gives disparity map as output from illumination variant stereo pair. Illumination difference between two stereo images can lead to undesirable output. Stereo image pair often experience illumination variations due to many factors like real and practical situation, spatially and temporally separated camera positions, environmental illumination fluctuation, and the change in the strength or position of the light sources. Window matching and dynamic programming techniques are employed for disparity map estimation. Good quality disparity map is obtained with the optimized path. Homomorphic filtering is used as a preprocessing step to lessen illumination variation between the stereo images. Anisotropic diffusion is used to refine disparity map to give high quality disparity map as a final output. The robust performance of the proposed approach is suitable for real life circumstances where there will be always illumination variation between the images. The matching is carried out in a sequence of images representing the same scene, however in different resolutions. The hierarchical approach adopted decreases the computation time of the stereo matching problem. This algorithm can be helpful in applications like robot navigation, extraction of information from aerial surveys, 3D scene reconstruction, and military and security applications. Similarity measure SAD is often sensitive to illumination variation. It produces unacceptable disparity map results for illumination variant left and right images. Experimental results show that our proposed algorithm produces quality disparity maps for both wide range of illumination variant and invariant stereo image pair.
机译：提出了一种新的分层立体声匹配算法，其使视差图作为来自照明变体立体对的输出。两个立体图像之间的照明差异可能导致不期望的输出。立体图像对经常遇到照明变化，因为许多因素，如实际和实际情况，空间和时间分离相机位置，环境照明波动以及光源的强度或位置的变化。窗口匹配和动态编程技术用于差异图估计。使用优化的路径获得良好的质量差异图。均匀滤波用作预处理步骤，以减少立体图像之间的照明变化。各向异性扩散用于细化差异图以使高质量的差异图作为最终输出。所提出的方法的稳健性能适用于图像之间存在始终存在的实际生活环境。匹配在代表相同场景的一系列图像中进行，但是在不同的分辨率中。采用的分层方法降低了立体声匹配问题的计算时间。该算法可以有助于机器人导航等应用，从空中调查，3D场景重建和军用和安全应用中提取信息。相似度测量悲伤通常对照明变化敏感。它为照明变体左右图像产生不可接受的差异图结果。实验结果表明，我们所提出的算法为各种照明变体和不变立体图像对产生质量差异图。

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