1) Stereo edge-matching
边缘立体匹配
2) edge matching
边缘匹配
1.
Study of edge matching approach to workpiece image recognition;
工件图像识别的边缘匹配方法研究
2.
This paper reviews the process of edge detection and edge matching algorithm in image processing.
综述了在图像处理过程中的边缘检测和边缘匹配的算法并比较了各算法的性能,同时在牙齿三维模型建立的实验中实现了边缘检测,同时根据边缘检测出来的Z子线,以及轮廓线与模型进行配准。
3.
Model-based method is used in edge matching and the matching score is evaluated by the distance map and label map.
介绍了基于3-4Chamfer距离变换的边缘匹配方法,针对距离变换易受干扰等问题,提出了使用距离变换的标记图方法建立目标图像边缘点与其距离图的对应关系。
3) Side Match(SM)
边缘匹配
1.
The Side Match(SM) inevitably causes abnormality in the pixel-value difference histogram,so there are unusual steps in the histogram of pixel-value differences.
边缘匹配(SM)密写法会引起像素灰度差值直方图统计特性的异常,使灰度差值直方图中出现阶梯,分析者据此可以察觉秘密信息的存在。
4) stereo matching
立体匹配
1.
Fast stereo matching algorithm based on adaptive window and graph cuts;
一种基于自适应窗口和图切割的快速立体匹配算法
2.
Novel stereo matching algorithm based on pair-wise DNA alignment algorithm in bioinformatics and its implementation;
基于生物信息学中双DNA序列比对算法的图像立体匹配及其实现
3.
Stereo matching based on ant colony optimization algorithm;
基于蚁群优化算法的立体匹配
5) stereo match
立体匹配
1.
In order to solve the energy function minimization in stereo matching,an iterative approach based on cooperative Hopfield networks is proposed.
针对立体匹配算法中求解能量函数全局最小问题,提出一种基于协作Hopfield网络的迭代立体匹配算法。
2.
Aiming at this case, a robust and real-time stereo match algorithm based on mutual information is proposed in view of practical applic.
立体匹配算法依然是目前计算机视觉领域中的一个重要的研究热点。
3.
It is well known that stereo matching with global optimization can obtain good matching result but takes too much computation resources.
由于精确立体匹配需要较大的运算量,目前的实时立体系统为了达到实时的要求,采用误匹配率较高的局部最优立体匹配算法,能够在普通PC上达到每秒30帧左右的立体匹配处理速度。
6) stereo correspondence
立体匹配
1.
An approach to addressing the stereo correspondence problem is presented using genetic algorithms (GAs) to obtain a dense disparity map.
提出了一种利用遗传算法解决立体匹配问题的方法以获得稠密的视差图。
2.
A segment-based two-step stereo correspondence algorithm is proposed.
提出了一种基于分割的两步立体匹配算法。
3.
Stereo correspondence algorithm is the most important and complicated part of stereo systems.
通过近二十年的研究,立体视觉已经发展出了一些可以在实时系统中应用的成熟立体匹配算法。
补充资料:边缘
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