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I am working on a project about 3D reconstruction from 2D images in Android. Those 2D images are ultrasound black and white images. Is there any toolkit or developer sources could help me??
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Sergey Alexandrovich Kryukov 18-Sep-14 13:45pm    
This does not solves the OP problem, but it would be well too much. It just gets some idea on what's involved. 5ed.

But that's not all. The problem is extremely difficult and — surprise! — is not solvable in any cases. Strictly speaking, it is not resolvable at all in the sense of the common concept of "solution". In theory of ill-posed problems, the concept of "pseudo-solution" is introduced.

Please see Solution 2.

—SA
Please look here: http://en.wikipedia.org/wiki/Ambiguous_image[^].

Perhaps, for you these ideas are trivial, but this page clearly illustrates: the problem is not resolvable in the comment sense of the word "solution". This is so-called ill-posed problem.

Please read on the concept of ill-posed problem. The classical Tikhonov's theory of ill-posed problems introduces the criteria for a well-posed problem of a wide class. For ill-posed problems, the concept of quasi-solution is introduced. The problem you are dealing with belongs to the class of those ill-posed problems. You probably understand that each set of 2-dimensional image, strictly speaking, allows for infinite number of solutions. The software should seek for "most likely" or "simplest" one, which is also hard to defined and cannot be defined in all cases.

Please see:
http://en.wikipedia.org/wiki/Well-posed_problem[^],
http://en.wikipedia.org/wiki/Tikhonov_regularization[^].

I just mean to explain that the problem is extremely difficult; so you should not expect too good results, no matter what you use. There are many cases (some of them are artificially designed), when even a human being makes mistakes.

—SA
 
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CPallini 18-Sep-14 13:57pm    
5.
Sergey Alexandrovich Kryukov 18-Sep-14 13:58pm    
Thank you, Carlo.
—SA

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