该文从视觉角度提出了一种新的手势建模的方法-多尺度形状描述子。
A new hand modelling method-multiscale descriptor is presented from the vision perspective in this paper.
不同于基于形状描述子的三维形状匹配方法，基于部分相似性的三维形状匹配无法回避建立两个三维模型之间的点与点对应关系。
Another method is also proposed in this paper to compute partial shape similarity between two 3d models based on matching all point-to-point pairs on the surfaces.
平面目标闭合曲线的傅里叶描述子只描述了目标区域的边界形状，无法反映目标内在属性。
The Fourier describer only describes the boundary shape of the planner target region, and can not reflect feature inside characteristic.
傅立叶描述子是分析和识别物体形状的重要方法之一。
Fourier descriptor is an important method used in shape analysis and recognition.
提出一种将主成分分析(PCA)与最远点距离(FPD)相结合的二维形状傅里叶描述子。
This paper proposes a new Fourier shape descriptor integrated with Principal Component Analysis (PCA) and the Farthest Point Distance (FPD).
本文中的形状描绘子用于对物体边界进行可靠的计算机表述，进而对图像进行语义层面的描述。
The shape descriptor developed in this thesis has the aim to represent the object boundaries computationally and reliably, and to describe the image semantically.
经该方法处理得到的描述子对仿射、旋转、噪声等的抗干扰能力得到提升，对形状的局部特性描述能力更强。
After above processing, the descriptors are insensitive to the affine transform, rotation, noise and so on. They can hold the local features well, such as corners.
经该方法处理得到的描述子对仿射、旋转、噪声等的抗干扰能力得到提升，对形状的局部特性描述能力更强。
After above processing, the descriptors are insensitive to the affine transform, rotation, noise and so on. They can hold the local features well, such as corners.
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