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the optimal cost
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  the optimal cost
The optimal cost set was selected by use of both character-based and topological congruence measures.
      
The optimal cost target was evaluated and the original pinch rules at each subsystem were employed.
      
In this paper, we have formulated the optimal cost stacked uni-directional path switched (UPSR) ring design problem.
      
The estimated cost function is then used to approximate the optimal (cost-minimizing) industry structure for petroleum refining.
      
A basic result is that the optimal average costs per unit time for the physical problem converge to the optimal cost per unit time for the limit stationary process as the number of sources and the time interval goes to infinity.
      
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Stereo matching is an important research area in stereo vision.This paper uses feature points of uncalibrated image pair to compute the homography matrix based on Sampson error model.Homography matrix is used to compute the fundamental matrix and search the corresponding point elements of the object's structure.The corners are detected by Forstner algorithm and the original matching is based on the gray similarity criterion.The optimal cost function is established under the Sampson error estimation model,so...

Stereo matching is an important research area in stereo vision.This paper uses feature points of uncalibrated image pair to compute the homography matrix based on Sampson error model.Homography matrix is used to compute the fundamental matrix and search the corresponding point elements of the object's structure.The corners are detected by Forstner algorithm and the original matching is based on the gray similarity criterion.The optimal cost function is established under the Sampson error estimation model,so the overdetermined equations are resolved.The corners are matched under the epipolar constraint and homography constraint.And the structure is reconstructed under projective geometry model.Experimental results show that the method is accurate and fast.

立体匹配是立体视觉重要的研究内容,文章在摄像机无标定的前提下采用Sampson误差估计立体图像对的平面单应,由单应计算基础矩阵,进行图像特征点匹配。先用Forstner算子提取角点,按照灰度差相似性准则进行初始匹配,然后在Sampson误差模型下求解代价函数的最优解,解决单应矩阵元素方程组超定问题。在平面单应及对极几何约束下进行图像特征点匹配,可获得射影意义下的象点重构。实验结果表明该方法能准确快速地匹配特征点。

We use Dijkstra algorithm to solve the problem about how to choose the paths. And discuss the optimal time and the optimal cost. Also give several paths for people to choose. Finally, this algorithm is implemented by C++ language.

应用Dijkstra算法解决城市中出行交通道路选择的问题,对最优时间和最优费用分别进行讨论,并且综合时间和费用提供多条路径供人们选择。用C++实现算法。

 
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