CAJ | 학술논문

采用基于视图协同优化算法解决视觉匹配问题，通过对双视图立体匹配的研究到多视图匹配的推广，利用视差平面拟合进行多个视差集的合并。利用奇异值分解法解决线性方程，建立排除异常点的判别规则，解决遮挡及稀疏纹理的问题。实验结果表明：该协同优化算法是有效的，提高了匹配的精度。
채용기우시도협동우화산법해결시각필배문제，통과대쌍시도입체필배적연구도다시도필배적추엄，이용시차평면의합진행다개시차집적합병。이용기이치분해법해결선성방정，건립배제이상점적판별규칙，해결차당급희소문리적문제。실험결과표명：해협동우화산법시유효적，제고료필배적정도。
The algorithm of stereo matching using cooperative optimization is developed to extract disparity map from im-age pairs.The procedure of algorithm is generally extended to apply to multiple views from two views.The disparity sets are merged into one by the disparity plane estimation,and the linear equation is solved by singular value decomposition (SVD).And the rules are built to filter out outliers,which can effectively handle the problem of occlusion and texture-less.The experimental results show that the effectiveness of our proposal methods and the accurateness of stereo matc-hing .