物体识别中三角形几何特征的研究进展

Nur Atikah Arbain, Mohd Sanusi Azmi, Azah Kamilah Draman Muda, Amirul Ramzani Radzid, A. Tahir
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引用次数: 2

摘要

利用物体的几何特性,利用多边形等几何形式来表示物体图像。通过特征提取过程,可以利用多边形(包括矩形、正方形、五边形和三角形)等几何形状生成几何特征。几何形式在物体识别中的应用已广泛应用于相似物体图像的确定,在数字识别、生物识别和车辆检测中得到了广泛的应用。为了产生三角形特征,三角形状的构造是必不可少的。否则,三角形特征无法产生。然而,每一种物体识别由于其风格、图案、形状、类型等特征的不同,构造三角形的方法也不同,从而产生的三角形特征也不同。本文综述了在指纹、人脸、数字和车辆检测等各种目标识别中用于生成三角形几何特征的几种方法。涉及的方面包括三角形形状的形成、作为基准生成三角形点的元素以及用作特征类型的属性或特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Triangle Geometry Features in Object Recognition
The geometrical form such as polygon shape can be used to represent object image via their geometrical properties. The geometry shapes such as polygon including rectangles, squares, pentagons and triangles can be used to produce geometry features through the feature extraction process. The use of geometrical forms in object recognition has been applied in determining similar object images which have broadly used in recognizing digit, biometric and vehicle detection. The triangle shape formation is essential to construct in order to produce triangle features. Otherwise, the triangle features cannot be produced. However, each of object recognition has different approaches to construct triangle shape due to their different characteristics such as style, pattern, shape and type which made the triangle features produced are different. This paper reviews several approaches that have used in producing the triangle geometry features in various object recognition such as fingerprint, face, digit dan vehicle detection. The aspects addressed are triangle shape formation, elements used as the benchmark to generate triangle points and properties or characteristics used as features type.
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