An approach of computer geometric pattern recognition, which is based on semantic knowledge of an engineering structure sketch, is presented in this paper.
提出了基于工程结构简图语义知识的计算机结构模式识别方法。
Geometric shape description is one of the main research topics in computer graphics, computer vision and pattern recognition.
形状描述是计算机图形学、计算机视觉和模式识别等领域的一个重要研究方向。
For geometric invariance of the invariant moment, it has been used in pattern recognition, computer vision and image reconstruction.
不变矩的几何变换不变性特点，使其在模式识别、计算机视觉和图像重构中被广泛使用。
Geometric properties, such as perimeter and connected component, have been widely used in image segmentation and pattern recognition.
图像的几何性质，比如区域周长和连通分量，在图像分割和模式识别领域得到了广泛的应用。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
模式识别；可视化；多元数据；图表示；几何代数；子空间坐标；优化。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
模式识别；可视化；多元数据；图表示；几何代数；子空间坐标；优化。
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