The first image i chose to use was the cat. It shows some pixel drag around the edges of the image.
Owl.
Owl showed the same drag around the edges along with the minor noise in the right eye. This led to strange 3D effects
Owl showed the same drag around the edges along with the minor noise in the right eye. This led to strange 3D effects
Rock.
Rock was my favorite because of its fine details
Rock was my favorite because of its fine details
Final Thoughts.
1 : Each of my images had considerable drag
(or trail pixels) at the borders.
This led to considerably noticable effects
2 : The dark ball on the the column was the
worst reconstruction. It appeared to not work at all.
It was a very dark object and it seemed that the algorithm found it
hard to find the correct depths
3 : One problem is with image noise which
leads to strange 3d reconstruction
artifacts that are not correct. This can be assisted with blurring.
Another is the edges
of image have pixel at various depths. This can be solved with an
averaging or estimation of those stretched pixels. The last problem I
noticed was that some images had to many dark locations. The
introduction of more lighting directions can suffice for solving that
problem.