1) Fourier describer
傅里叶描绘子
1.
And finally, the dominant characteristics are extracted which are composed of representative vectors of faces through analyzing the eigencurves using Fourier describer.
作为对人面特征的描述 ,最后利用傅里叶描绘子对特征曲线进行解析提取关键特征 ,得到人面的表征向量 。
2) Fourier descriptor
傅立叶描绘子
1.
The main technique of the algorithm is that off-line acquire Fourier descriptor of boundary,as standard curve,of the clear iris-image,then search and fit the boundary of aim-image through standard curve for accurately and fast estimating the position of iris.
该算法的基本思想是离线求出清晰虹膜边界曲线的傅立叶描绘子,然后利用标准曲线对目标图像中的边界曲线进行搜寻拟合,对虹膜位置进行判断,实现对其的快速准确定位。
2.
In this paper,a method for objects shape description based on chain code and Fourier descriptor is proposed and its properties are explained and verified by experiments.
论文提出了一种基于边缘轮廓链码的傅立叶描绘子对目标形状的描述方法,分析并实验验证了该方法的各个性质,并讨论了它的实际计算问题。
3) Fourier descriptor
傅里叶描述子
1.
In order to describe the lip contours in a lipreading system automatically and quickly,Fourier descriptors are applied to describe and recognize the lip contours.
为了能够自动、快速地表示唇读系统中所必须的唇形轮廓特征,将傅里叶描述子用于唇形轮廓的描述和识别过程中,采用边界傅里叶变换的方法,得到非对称唇形模型中唇形轮廓的傅里叶描述子,用来刻画唇动过程中唇形轮廓的形状信息,并将傅里叶描述子φ作为唇形轮廓的特征向量,应用于基于隐马尔可夫模型(HMM)的视觉驱动语音合成系统。
2.
Based on Fourier descriptors,the feature vector of the driving wheel contour is constructed,which is an invariant to rotation,scaling,translation and starting point,then the recognition of driving wheel is realized.
采用傅里叶描述子构造了具有平移、旋转、尺度缩放及起始点不变性的轮廓形状特征向量,实现了驱动轮的识别;进而抽取图像特征和估计驱动轮—相线在图像空间中的相对位姿,并设计了带有死区的比例控制律来实现驱动轮—相线“对中”视觉伺服控制。
3.
Through Fourier transformation,the flame shape Fourier descriptors were calculated.
提出一种基于火焰形状的氧化铝回转窑火焰图像的检索方法,对回转窑火焰的形状进行深入分析,根据其特点,提出一种描述火焰形状的基准距离函数,通过傅里叶变换得到火焰图像形状的傅里叶描述子。
4) fourier descriptors
傅里叶描述子
1.
Through analysis of relation between boundary motion and variance of Fourier transform coefficient,Motion detection of planar closed boundary using Fourier descriptors and Hough transform is proposed in the paper.
文章分析了平面封闭边界运动和傅里叶描述系数的变化关系,提出了基于边界傅里叶描述子和Hough变换检测平面封闭边界的运动,并通过计算机仿真证明该方法的可行性。
2.
Fourier descriptors which do not change with translation, rotation and scale change are analyzed.
分析并设计了具有不随目标的平移、旋转和尺度变换以及边界的起点变化而变化的傅里叶描述子。
3.
This article focuses on the moment invariants and Fourier descriptors, which are the two kinds of classical methods in feature descriptions of shape.
本文重点研究了不变矩和傅里叶描述子这两类经典的形状特征描述方法,对其基本原理、方法以及典型的改进算法进行了深入的讨论和分析,总结归纳了两类算法各自的优缺点。
6) Fourier descriptors
傅里叶子
1.
Comparative study of Fourier descriptors;
几种傅里叶子的深入比较研究
2.
There are too many boundary feature description methods for object recognition,three main methods are Fourier descriptors,Relative moments, mathematical morphology.
实际应用中,对物体边界特征描述的方法很多,本文对数学形态学、相对矩、基于极半径函数的傅里叶子这几种方法进行了比较研究。
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