* To use load an image and a matching keypoints descriptor, select the keypoints
you want and then press "s" the selected keypoints will be written to desc_out.orb.
The heart of the 1D FFT works. I tested this on the PC. However, 2D FFTs
may have issues and the phase correlation algorithm does not generate
the expected results. That said, most of the work is done. Stuff just
needs to be deubgged.
The FFT lib is designed to handle up to 1024 point real FFTs and 512
complex FFTs. As for 2D FFTs, we can do up to 64x64 pixels. After which,
we don't have enough RAM to handle them because they use up about 128KB
each.
Things to do... the 2D FFT needs to be verified. So, we need to run an
image through it and then back again to verify that there are no
problems. Then we need to compare the 2D FFT output with another 2D FFT
algorithm on the PC...
Once the FFTs are known to be good we then need to make sure the phase
corelation algorithm outs the correct results. We need to test that with
multiple shifted images, etc.
With new RGB565<->RGB888 scaling. This included redoing the LAB/YUV/XYZ
tables. I translated the table gen code to python also and added
comments as to where the math came from.
And yes, I tested and compared the tables to make sure they weren't
borken. The tables are slightly different... but, if look at the
progression of values loosely you'll see the triplets are very close to
each other when doing a compare. This is to be expected given I used a
slightly better scaling algo.
And modified the rainbow table so that the RGB888 to RGB565 translation
is done using a rounding technique versus hard floor. This is also used
for the RGB565<->RGB888 LUTs.
Additionally, I added a bunch of stuff to the image library to make
working with images easier. I will using these helpers in the future.
Finally, I cleaned up trailing space in the font stuff (pet peeve).