Shape analysis of bust slice using Elliptic Fourier

An Elliptic Fourier analysis was applied to study bust slice of human body. First,the Elliptic Fourier description of closed planar contour were introduced,as well as the normalization of position,scale and orientation of the contour; and then bust slices of 459 females and 107 males were extracted by the 3D body scanner and the acquired data were fitted using Elliptic Fourier. The fitting errors with different maximum harmonic numbers were also analyzed. A new method was proposed to build symmetric bust slice,and the average shapes of bust slice under different bust girth were calculated. By applying principal component analysis to Elliptic Fourier descriptors of bust slice,the main modes of bust slice variation were discussed in detail. Finally,a BP neural network was built to recognize the gender of a bust slice with Elliptic Fourier descriptors. The test results showed high identification rates.