• Stereo matching is a key part in stereo vision research.

    立体匹配是立体视觉研究中的关键部分。

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  • A two-stage iterative stereo matching algorithm is proposed.

    本文给出了一个两级迭代体视匹配算法。

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  • A new Non-parametric transform for stereo matching was proposed.

    提出了一种基于邻域差值的非参数变换立体匹配方法。

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  • Indirect method of point stereo matching based on line feature is explored.

    探索了基于线特征的点特征立体匹配的间接方法。

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  • Stereo matching is the most difficult link within a binocular vision system.

    立体匹配是双目视觉系统最困难的环节。

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  • Stereo matching algorithm based on feature and can be used in DSP AND ARM etc.

    基于特征的立体匹配算法,可以固化到芯片上。

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  • This paper proposes an improved belief propagation algorithm for stereo matching.

    给出了一种用于立体图像匹配的改进置信传播算法。

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  • This paper presents a stereo matching algorithm of SGC based on image segmentation.

    提出了一种基于图像分割的立体匹配算法sgc。

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  • Chapter IV introduces the application of visual odometry in wide baseline stereo matching.

    第四章主要介绍了视觉里程计在宽基线立体匹配中的应用。

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  • The stereo matching is a key problem of computer vision, and also is the difficult problem.

    立体匹配是计算机视觉领域的一个关键问题,同时也是难点问题。

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  • Stereo matching is currently one of the most active research topics in domain of computer vision.

    目前,立体匹配是计算机视觉领域中最活跃的研究主题之一。

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  • The stereo vision is an effective way for 3D profile measurement, and stereo matching is a key step.

    双目视觉是一种有效获取三维轮廓信息的方法,其中立体匹配是关键的一个步骤。

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  • A ground control point based stereo matching algorithm via iterative dynamic programming is proposed.

    提出一种基于地面控制点的迭代动态规划立体匹配算法。

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  • The paper realizes the watershed image division algorithm, and applies this algorithm to stereo matching.

    实现了分水岭图像分割算法,并将该算法应用到立体匹配中。

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  • This thesis discusses three different methods about stereo matching extraction to get 3d status information.

    本论文讨论了三种不同的方法来获取匹配点,从而提取三维信息。

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  • So it can be used in stereo vision system which is in demand of high robustness for stereo matching algorithm.

    可以应用于对匹配算法鲁棒性要求比较高的立体视觉系统中。

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  • To realize accurate 3d scene matching, a trinocular stereo matching scheme based on edge segment was developed.

    为实现准确的三维场景匹配,提出了一种基于边缘线的三目立体匹配方法。

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  • A method for face stereo matching and disparity calculating in binocular vision system is proposed in this paper.

    研究并实现了一种基于双目视觉的人脸立体匹配计算方法。

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  • A stereo matching algorithm based on control points is proposed for layered and bidirectional dynamic programming.

    提出一种基于控制点的分层双向动态规划立体匹配算法。

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  • In stereo matching, the edge problem and the occluded areas problem always affect the accuracy of the disparity image.

    在立体匹配过程中,边界问题和遮挡问题一直影响着立体匹配的准确程度。

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  • And use multi-base stereo matching to solve matching problem of disaccord join-angle between close and far scene in image.

    采用基于多基线的立体匹配技术,解决树木影像中近景区域和远景区域影像变形不一致的匹配矛盾。

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  • General error detection and correction algorithm for disparity maps is developed to provide precise stereo matching results.

    为了获取精确的立体匹配结果,提出了一种通用的视差图误差检测与校正算法。

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  • A depth spectral method we developed for stereo matching has increased its credibility and realized the X ray stratified imaging.

    利用深度谱分析物体层次,提高了立体匹配的置信度,提高了X射线立体透视的分层成像的质量。

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  • In stereo matching, this paper studied two algorithms, one is area-based matching algorithm, the other is feature-based matching algorithm.

    在立体匹配部分,重点研究了区域相关匹配和基于特征的匹配两种类型的匹配算法。

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  • Visual odometry can get accurate motion information, so it can be used to rectify the stereo images in wide baseline stereo matching system.

    视觉里程计可以求取出准确的运动参数,从而可以利用这些参数对宽基线立体匹配中的立体图像对进行有效的校正。

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  • A central problem in stereo matching by computing correlation or sum of squared differences (SSD) lies in selecting an appropriate window size.

    基于灰度的数字图像立体匹配算法的中心问题是选择一个适当尺寸的窗口。

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  • This paper concludes the stereo matching methods from some aspects such as primitive factor selection, matching rules and algorithm organization.

    本论文从三个方面总结了立体匹配的方法,即基元选择、匹配准则和算法结构。

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  • This paper proposes computational optimization method based on the incremental computation of the SSD and NCC algorithms for the stereo matching.

    论文针对图像匹配计算中的SSD和NCC算法提出一种基于递推增量计算的改进算法。

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  • This paper proposes computational optimization method based on the incremental computation of the SSD and NCC algorithms for the stereo matching.

    论文针对图像匹配计算中的SSD和NCC算法提出一种基于递推增量计算的改进算法。

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