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Optimization to simultaneously solve for light & camera locations

Earlier this week, Dr. Pless, Abby and I worked through some of the derivations of the ellipse equations in order to better understand where our understanding of them may have gone awry. In doing so, I now believe there is a problem with the fact that we are not considering the direction of the surface normals of the glitter. It seems to me that this is the reason for the need for centroids to be scattered around the light/camera - this is how the direction of surface normals is seen by the equations; however, this is not realistically how our system is set up (we tend to have centroids all on one side of the light/camera).

I did the test of generating an ellipse, finding points on that ellipse, and then using my method of solving the linear equations to try and re-create the ellipse using just the points on the ellipse and their surface normals (which I know because I can find the gradient at any point on the ellipse, and the surface normal is the negative of the gradient).

Here are some examples of success when I generate an ellipse, find points on that ellipse (as well as their surface normals), and then try to re-create the ellipse:

Generated Ellipse with 8 points on it

 

Re-created ellipse, using the same 8 points as those in the above image.
Two generated ellipses, with 9 points total
Two re-created ellipses using all 9 points from the above image

Funny story - the issue of using all points on one side of the ellipse and it not working doesn't seem to be an issue anymore. Not sure whether this is a good thing or not yet...look for updates in future posts about this!

We decided to try and tackle the optimization approach and try to get that up and running for now, both in 2D and 3D. I am optimizing for both the light and the camera locations simultaneously.

Error Function

In each iteration of the optimization, I am computing the surface normals of each centroid using the current values of the light and camera locations. I then want to maximize the sum of the dot products of the actual surface normals and the calculated surface normals at each iteration. Since I am using a minimization function, I want to minimize the negative of the sum of dot products.

error = -1*sum(dot(GT_surf_norms, calc_surf_norms, 2));

2D Results

Initial Locations: [15, 1, 15, 3] (light_x, light_y, camera_x, camera_y)
I chose this initialization because I wanted to ensure that both the light & camera start on the correct side of the glitter, and are generally one above the other, since I know that this is their general orientation with respect to the glitter.

Final Locations: [25, 30, 25, 10]
Actual Locations: [25, 10, 25, 30]
Final Error: 10

So, the camera and light got flipped here, which sensibly could happen because there is nothing in the error function to ensure that they don't get flipped like that.

3D Results

Coming soon!

Other things I am thinking about in the coming days/week

  1. I am not completely abandoning the beautiful ellipse equations that I have been working with. I am going to take some time to analyze the linear equations. One thing I will try to understand is whether there is variation in just 1 axis (what we want) or more than 1 axis (which would tell us that there is ambiguity in the data I am using when trying to define an ellipse).
  2. After I finish writing up the optimization simulations in both 2D and 3D, I will also try to analyze the effect that some noise in the surface normals may have on the results of the optimization.

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