A new contour data compression method using Fourier descriptor

The 3D progressive compression has received great interest in recent years, mainly due to the need for transmitting a large model over the network. This paper proposes a new compression method using Fourier descriptors for the contour shapes. Upon acquisition of the set of planar contours, a vertex...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2006-04, Vol.28 (7-8), p.714-720
Main Authors: Kim, Hoe Min, Ryu, Jae Hun, Lee, Yong Gu, Lee, Kwan H.
Format: Article
Language:English
Subjects:
Contours
Data compression
Fourier transforms
Shape
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Summary:The 3D progressive compression has received great interest in recent years, mainly due to the need for transmitting a large model over the network. This paper proposes a new compression method using Fourier descriptors for the contour shapes. Upon acquisition of the set of planar contours, a vertex list is obtained. The vertex coordinate (x,y) on the plane, is considered as a complex value (x+jy), which is transformed to the frequencies by using the Fourier descriptor. The priority filter based on the magnitude of frequencies determines the significance of the frequency components. Instead of using all frequencies, the most significant frequencies are selectively used to reconstruct the contour by the inverse Fourier transform. As a result, data size in the frequency domain is considerably reduced. Three application examples are demonstrated to show the effectiveness of the proposed method .
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-004-2407-x