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Abstract: This paper presents a new 3D object recognition/pose strategy based on reduced sets of Fourier descriptors on silhouettes.
This paper presents a new 3D object recognition/pose strategy based on reduced sets of Fourier descriptors on silhouettes. The method consists of two parts.
This paper presents a new 3D object recognition/pose strategy based on Fourier descriptors clustering for silhouettes. The method consists of two parts.
Nov 17, 2008 · Bibliographic details on Active 3D recognition system based on fourier descriptors.
This paper presents a new 3D object recognition/pose strategy based on Fourier descriptors clustering for silhouettes. The method consists of two parts.
Jun 25, 2013 · The best approach in this case is to sample a fixed number of points from the boundary, so that your input vectors are of equal length.
This paper presents a new 3D object recognition/pose strategy based on Fourier descriptors clustering for silhouettes. The method consists of two parts.
In this paper, a pattern recognition model for dynamic hand gesture recognition is proposed. The proposed model combines a convolutional neural network ...
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We have developed a method for describing the three-dimensional (3D) shape of molecules based on the Fourier shape descriptor technique.
Fourier Descriptors have been used as features of the objects. Various similarity measures have been used and compared for recognition. The test objects are ...