Monday, January 23, 2012

GFD(Generalized Fourier Descriptor), Part 1

it is interesting.. GFD is a rotation invariant. In GFD the orginal image is transformed to polar cordinate system. This provides the rotation invariant ability. I will explain how this happens. When we map normal image in cartesian coodinate system to polar coordinates, a rotation in Cartesian coordinate will cause translation/shifting in polar system. Remeber in polar system r, and theta are the axis. So when you rotate original image, R remain same so in effect the coresponding image is shifted(to left/right according to the direction of rotation) in polar system.

Still you may be wondering even if that is the case, why Fourier transform output remains same ? because we are operating on different data.For each rotation , the image is shifted in polar coordinate system.
If you thought like that, you are thinking.. Good.

I will explain the answer to the above puzzle.

X_k = \sum_{n=0}^{N-1} x_n \cdot e^{-i 2 \pi \frac{k}{N} n}.

If you remember one dimensional Fourier transform you can see that we are finding the dot product of our Image data with a number of Cos,Sin vectors (N diamensional, same as image size). The sin and cos are orthonormal , so the magnitude remains same. Please read my previous post http://cgmath.blogspot.com/2011/12/image-recognition-using-phase-only.html to get an intuitive grasp on DFT.

that is

Magnitude Of DFT[ {1,2,3,4,5,6}] is equal to Magnitude of DFT[ {4,5,6,1,2,3}]

Magnitude is Sqrt( i*i + j*j ) of the complex number.

Thus we get rotation in-variance. Now the next thing is Fourier descriptor. I will post about that after some days. It is simple( Really ? )


Tuesday, January 10, 2012

Just started with generalized Fourier Descriptor

I started working on a new algorithm for image search. This is based on Fourier descriptor. Image is first converted in to a corresponding polar representation.This representation allows to get complete rotation in-variance. This is Because a rotation in Cartesian plane corresponds to a angle shifts in polar domain. So the DFT remains same. This is a simple and great idea.

I also started working on my Engine to add MD2 animation support. The image processing things takes too much thinking time also sometimes makes me dull. Thats why i started this to feed my interests.MD2 animation is simple to implement also to understand. Bone animation is difficult to understand if you are a beginner/intermediate in computer graphics. You may be wondering about which format should be used like that.. I had a looked that before some years. But at that time i didn't got time to implement it. Now sadly i am not remembering much.I should have implemented it that time.