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首页> 外文会议>Signal Processing amp; Its Applications, 2009. CSPA 2009 >A robust SIFT-based matching algorithm for the occluded area and complex texture
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A robust SIFT-based matching algorithm for the occluded area and complex texture

机译：针对遮挡区域和复杂纹理的基于SIFT的鲁棒匹配算法

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摘要

Recently, many researchers are actively studying on the reconstruction of 3-dimensional structures from the 2-dimensional images acquired from a stereo camera. However, the disparity map calculated from the existing methods does not always provide accurate depth information by the false matching and occluded areas. In this paper, by simultaneously applying the feature-based methods [1] and region-based methods[2], we effectively solve the problems caused by the false matching and occluded regions[3]. By experimental results we show that the proposed method can generate more accurate disparity map even in the case of occluded area or complex texture area [4].
机译：近来，许多研究人员正在积极地研究从立体摄像机获取的二维图像来重建3维结构。然而，由现有方法计算出的视差图并不总是通过错误的匹配和遮挡区域来提供准确的深度信息。在本文中，通过同时应用基于特征的方法[1]和基于区域的方法[2]，我们有效地解决了由错误匹配和遮挡区域引起的问题[3]。通过实验结果表明，即使在遮挡区域或复杂纹理区域的情况下，该方法也可以生成更准确的视差图[4]。

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