目的将三源ct精确重建算法应用到动态重建的场合，用于抑制心脏或呼吸运动在CT成像中产生的伪迹。
Objective to reduce the artifacts produced by cardiac or respiratory motion, through the application of exact reconstruction algorithm with triple-source ct in dynamic reconstruction.
提到的算法是有效和可靠的一对弱纹理和标准件，分别给出精确的3 - D坐标与实际自然图像的三维重建。
The algorithm mentioned is valid and reliable by 3d reconstruction on a pair of actual natural images with weak texture and the standard piece with given precise 3-d coordinates, respectively.
为获得更精确的重建结果，提出了一种改进的交互式医学图像分割算法；
To obtain the more accurate results, an interactive image segmentation algorithm is presented.
对工业自动化中拍摄的CFA低分辨率图像的实验结果表明，我们改进后的算法能鲁棒、精确、高效地对彩色图像进行超分辨率重建。
The experimental results regarding to the LR CFA images captured in factory automation show that our improved algorithm can produce color SR images robustly, accurately and efficiently.
利用三维重建算法和分段控制策略计算目标物距离，融合激光传感器信息获得目标物的精确距离。
Calculating the distance between the camera and target by the 3d reconstruction algorithm and sub-control strategy, and raise its veracity by laser information fusion.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
结果表明该方法优于传统的遗传算法，能精确地重建蛋白质侧链的构象。
The result shows that DGA is obviously superior to GA and can reproduce the conformations of protein side chain successfully.
得出精确的匹配点后，应利用SFM算法得到精确的三维点信息，利用VRML浏览器显示重建后的物体。
And then using SFM algorithm to complete 3d reconstruction, display the reconstruction object by VRML browser.
得出精确的匹配点后，应利用SFM算法得到精确的三维点信息，利用VRML浏览器显示重建后的物体。
And then using SFM algorithm to complete 3d reconstruction, display the reconstruction object by VRML browser.
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