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A novel method of enhancing Fourier descriptors for 3-D planar shape recognition

机译:一种提高三维平面形状识别的傅立叶描述符的新方法

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A new method of recognizing a two dimensional (2D) shape of a single perspective image taken from an unknown viewpoint is presented. This method is based on a set of new defined Fourier descriptors (FDs) to describe the contour of a planar shape lying in the three dimensional (3D) domain. In order to generate the 3D planar image from the 2D perspective image, we use inverse paraperspective transformation instead of general inverse perspective transformation. Based on the linear approximation of the transformation, new FDs for the 3D planar contour have been developed. They are proved to be merely dependent on the FDs of the 2D contour of the projected image and the slope of the world plane. Thereafter, opportunities for simple and efficient computation for 3D planar shape recognition can be realised.
机译:呈现了一种识别从未知视点拍摄的单个透视图像的二维(2D)形状的新方法。该方法基于一组新定义的傅立叶描述符(FDS)来描述位于三维(3D)域中的平面形状的轮廓。为了从2D透视图像生成3D平面图像,我们使用逆拍摄式变换而不是一般反透视变换。基于转换的线性近似,开发了3D平面轮廓的新FD。他们被证明仅仅依赖于投影图像的2D轮廓的FD和世界飞机的斜率。此后,可以实现用于3D平面形状识别的简单和有效计算的机会。

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