Stereo correspondence matching: Balanced multiwavelets versus unbalanced multiwavelets
Stereo correspondence matching: Balanced multiwavelets versus unbalanced multiwavelets
复制标题
立体对应匹配：平衡多小波与不平衡多小波
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
C. Serdean
中科院分区：
文献类型：
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作者：
P. B. Zadeh;C. Serdean
本文研究了非平衡和平衡多小波在立体匹配中的效率。多小波变换首先应用于一对立体图像去相关成若干子带。非平衡多小波的逼近子带中的信息携带输入图像的不同的谱内容，而平衡多小波的逼近子带产生输入图像的相似的谱内容。因此，非平衡多小波的近似子带在视差图生成中的应用可以产生比平衡多小波更精确的结果。采用全局误差能量最小化技术为每个近似子带生成视差图。然后，使用模糊算法组合所得到的视差图中的信息以生成密集视差图。仿真结果表明，与平衡多小波相比，非平衡多小波产生的视差图更平滑，失配误差更小。
This paper investigates the efficiency of unbalanced versus balanced multiwavelets in stereo correspondence matching. A multiwavelet transform is first applied to a pair of stereo images to decorrelate them into a number of subbands. Information in the approximation subbands of an unbalanced multiwavelet carries different spectral content of the input image while the balanced multiwavelet approximation subbands produce similar spectral content of the input image. Hence, the application of the approximation subbands of the unbalanced multiwavelets in disparity map generation could produce more accurate results compared to that of balanced multiwavelets. A global error energy minimization technique is employed to generate a disparity map for each approximation subband. The information in the resulting disparity maps is then combined using a Fuzzy algorithm to generate a dense disparity map. Simulation results show that the unbalanced multiwavelets produce a smoother disparity map with less mismatch errors compared to that of balanced multiwavelets.