Hi Folks,

I am trying to get camera motion vector based on OpenCV Optical Flow. I use C# wrapper for Unity of OpenCV 2.4.10, but it is just wrapper Here is the test case:

- Calibrated my camera and have camera matrix K (3x3)
- Use 2 100%-identical images framePrev and frameThis as optical flow frames (means no motion)
- Selected features (2d points) from both images via

```
goodFeaturesToTrack (frameThis, pointsThis, iGFFTMax, 0.05, 20);
goodFeaturesToTrack (framePrev, pointsPrev, iGFFTMax, 0.05, 20);
```

so i have features pointsPrev and pointsThis4. Use

`calcOpticalFlowPyrLK (framePrev, frameThis, pointsPrev, pointsThis, status, err);`

to verify flow for points, then I make sure analyzing status and err arrays, so my pointsPrev and pointsThis are identical pairs of points in image pixel coordinates5. Select first 8 pairs from pointsPrev and poitsThis (simply trunc arrays), then get Fundamental Matrix:

`F = Calib3d.findFundamentalMat(pointsPrev, pointsThis, Calib3d.FM_8POINT, 2, 0.99); `

. When points in all the pairs are identical (no motion) - it gives me 3x3 matrix with all zeros, I suggest that is correct (or?)6. Then getting Essential Matrix based on

`E = K'.(t) * F * K`

according to HZ 9.12, I have one camera, so K' = K.
```
gemm (K.t (),F,1,null,0,tmpMat,Core.GEMM_3_T);
gemm (tmpMat,K,1,null,0,E,Core.GEMM_3_T);
```

when F = |0|, then E = |0| as well

7. Finally I apply SVD decomposition on E:

`SVDecomp(E,W,U,VT);`

8. Analyzing W, U, VT output matrices, I can observe these values:

W: 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000 U: -0.577, -0.408, -0.707, -0.577, -0.408, 0.707, 0.577, -0.816, 0.000 Vt: 1.000, 0.000, 0.000, 0.000, 1.000, 0.000, 0.000, 0.000, 1.000

I suggest these values are strange, as according to books/manuals camera translation vector is U.col(2) is Vector3(-0.7071, 0.7071, 0) that is not correct.

Other observations, when I test for different image frames:

- U values are always between -1 and 1, that should not be translation, similar more on sine/cosine values (again, 0.7071 is sine of pie/4 or cosine of pie/4)
- Fundamental matrix outputs are radically different for different algoriths - 8POINTS, 7POINTS, RANSAC, LMEDS, even for pairs of corresponding poits (features)
- using dirrefent number of pairs of points (features) - say 5, 7, 8, 15, 40 - for the same algoriths also radically changes fundamental matrix output

I do really need your help, thank you in advance!

That is the copy of my question on StackOverflow : http://stackoverflow.com/questions/30953989/opencv-essential-matrix-svd-decomp

Kind Regards, Eugene