| 摘要: |
| 本文给出了一个基于二进小波变换的多尺度双眼视觉匹配算法．对原立体图对进行二进小波变换，得到原图对的一个多频道表示；对变换系数的分析使我们得到了有效的消除噪声，再提取出边缘的方法，提出的边缘作为对应点匹配的基本特征是恰当的．匹配的一些基本约束，如边缘方向大致一致等,已经包括在小波变换的系数中，更为重要的是我们在小波变换系数上推导出4个有效的新的约束——平滑分量梯度约束和平滑分量Laplace约束，由粗及精的多尺度控制策略得以自然引入，使得引起误匹配的可能对应点大量减少，从而提高了匹配的精确度和速度，鲁棒性增 |
| 关键词: 立体视觉，对应点匹配问题，二进小渡变换，视差梯度，平滑分量梯度约束，平滑分量Laplace约束，由粗及精的多尺度控制策略． |
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| MULTISCALE STEREO VISlON BASED ON WAVELET TRANSFORM |
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Zhong Sheng,Shi Qingyun,Cheng Minde
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| Abstract: |
| This paper presents an efficient multiscale binocular correspondence algorithm based on dyadic wavelet transform．The stereo images are first decomposed on the dyadic wavelet bases．By analyzing the transform coefficients，the authors get an efficien(method to remove noises and extract edges．Some basic constraints for matching，e．g．the one which requires that the edge directions be nearly the same，are naturally expressed by the coefficients．More importantly，they can deduce four useful constraints for selecting the potential matches which are called the smooth component gradient constraints and the smooth component Laplacian constraints．They have strong disambiguation power and
greatly remove those potential matches that would cause mismatches，and thus greatly im prove the accuracy and speed for matching．A multiscale coarse to fine control strategy is included to increase robustness． |
| Key words: Stereo vision,correspondence problem,dyadic wavelet transform,disparity gradient,smooth component gradient constraints,smooth component Lapla-cian constraints,coarse to fine control strategy． |
