[ptx] Registration testcases

Tue Jan 20 11:40:17 GMT 2004

Hi Pablo & *,

I ran my SIFT implementation against the Soellerkopf testset with the highest
accuracy my computer allows for while not touching any of the results.

The process were as follows:

  1. Generated SIFT features for each image at the original resolution
     (yielding around 4000-6000 features per image)
  2. Matching them (alltogether 84000 features) and producing a .pto
  3. Optimizing the .pto for "Positions and View" and rendering the panorama

The result is at: http://user.cs.tu-berlin.de/~nowozin/sift/soeller-auto-1300.jpg

No control points have been inserted/deleted or moved.

The first step took 20 minutes, the second 1 hour 30 minutes. I could have used
1:2 or even 1:4 the scale to speed it up by 4x or 16x times respectively.

I will run the other testsets tonight, too (also at the maximum possible
accuracy).

ciao,
Sebastian

PS: Pablo, the weighting formula I use is applied after the 0.6-threshholding.
I had the problem of receiving hits like "0.3 and 0.55" and "0.35 and 0.75".
With the stock weighting the first would be prefered, but I think the second is
a much better hit. One should do some experimental testing, though.

PPS: Attached is the raw .pto file the matching program produced.

-- 
nowozin at cs.tu-berlin.de --- http://user.cs.tu-berlin.de/~nowozin/
-------------- next part --------------
p f2 w3000 h1500 v360  n"JPEG q90"
m g1 i0

i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"sta_1156.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stb_1157.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stc_1158.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"std_1159.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"ste_1160.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stf_1161.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stg_1162.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"sth_1163.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"sti_1164.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stj_1165.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stk_1166.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stl_1167.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stm_1168.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stn_1169.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"sto_1170.jpg"
i w1200 h1600 f0 a0 b-0.01 c0 d0 e0 p0 r0 v40.0147 y0  u10 n"stp_1171.jpg"

v p1 r1 y1 p2 r2 y2 p3 r3 y3 p4 r4 y4 p5 r5 y5

# match list automatically generated
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# :-)