Geometric model was extracted through ACIS, manufacturing feature was recognized reconstructed through establishment of manufacturing feature library and using of Rule-based method.
通过ACIS提取几何模型信息，建立制造特征库与采用基于规则的方法实现对制造特征的识别与重构。
Geometric constraint satisfaction is one of the kernel algorithms in feature based design system.
几何约束求解是基于特征设计系统的核心算法之一。
In this paper a new method about face recognition is presented based on the regional distribution of facial geometric feature in China.
文中提出了利用人脸面部几何特征地理区域分布的差异性进行人脸识别的新方法。
Traditional matching methods, only based on the geometric feature of fingerprints, are lacking in matching speed.
传统的仅基于指纹几何特征的匹配方法，在匹配速度方面有一定的欠缺。
For the precise location of laser spot center on the complex target, a method based on residual pruning with geometric feature constraints is proposed.
为满足复杂靶标背景下激光光斑形心的高精度定位要求，提出了一种基于几何特征约束残差修剪的定位方法。
It USES feature dependent graph as data model, cell-based model as geometric model, and view model as user interface, but it is more complex than the former system based on parameter and history.
在底层它用特征依赖图作为数据模型，在中层用细胞元模型作几何模型，在用户层用视图模型表示。
The image watermark scheme based on Scale Invariant feature Transform (SIFT) feature is proposed for resisting geometric attacks.
提出一种利用尺度不变特征变换(SIFT)特征点实现对抗几何攻击的水印方案。
Research on geometric kernel of the feature-based parametric modeling system is one of the most important technologies for buildin...
对于参数化特征造型系统的几何核心的研究，一直是构造成功计算机辅助设计系统的关键技术。
A new feature-based image watermarking scheme robust to unclassified geometric attacks is proposed in this paper.
提出了一种抵抗一般性几何攻击的数字水印新算法。
An effective against geometric attack robustness of digital watermarking algorithm based on improved SIFT (Scale Invariant Feature Transform) is presented.
通过改进的SIFT(尺度不变特征变换)算法提出了一种可有效抵抗几何攻击的鲁棒数字水印算法。
A two-step matching method for 3d face recognition is proposed. Feature points are detected based on curvature and geometric constraint.
针对3维人脸识别问题，提出一种由粗到细的两步识别方法。
A two-step matching method for 3d face recognition is proposed. Feature points are detected based on curvature and geometric constraint.
针对3维人脸识别问题，提出一种由粗到细的两步识别方法。
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