研究了用凸集模型描述不确定参数时，多学科系统的不确定性分析方法。
The convex model theory is implemented to handle the uncertain parameters of multidisciplinary systems.
为了改善超分辨率重建图像的效果，提出了一种基于线过程模型的凸集投影方法。
In order to improve the superresolution reconstruction of image, a method of projections onto convex sets (POCS) based on the line process modeling is proposed.
平面点集作为一种常见数学模型，其上常做的运算是求其凸包和三角网格。
Two kinds of common operation on the set of nodes in a plane are calculating its convex hull and triangulation, and usually the algorithms are studied independently.
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.
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.
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