The perspective distortion is a change of apparent size of objects with distance, the size is a quantitative measurement and the apparent size too, distance too, the phenomena that relates those things can not be a qualitative one
Sorry for that confusion and thanks for your answer , its just that my true problem is about the perspective, I understand that it's affected by distance but I don't know how, I hope that there's a known mathematical relation between magnification and distance of objects with great prediction...
probably I didn't mention this in my post but I want to write a program about it (for triangulation purposes in real world ,that's why I don't want paraxial models for camera lenses ), in order to achieve that I need equations not only words , or arguments like those showed in my link
Hi guys !
I'm trying to understand the perspective distortion that can be observed in our vision and cameras, so many pages on the web that talks about photography says that the perspective distortion can be controlled using different focal lengths lenses, meanwhile a reduced group of pages...
hi all !
i'm trying to solve numerically the chua circuit set of differential equations , I am using the equations showed in this pdf:
http://nonlinear.eecs.berkeley.edu/chaos/RobustOpAmpRealizationOfChuaCircuit.pdf
i have the real circuit mounted and I'm using its parameters for the numerical...
Thanks for the answer it is really useful ! . After reading this, i thought the next question ... suppose that the t student test is used to do the comparison ... considering that experimental reference value is treated like any other measurent the number of degrees of freedom would be n or n-1 ?
Hi again, probably this seems to be a simply question, but in last days i becomes a really strange one.
We all know that there are many kinds of constants in physics, some of them, are found experimentally with great accuracy in too expensive projects, but no matter how accurate can be measured...
hi all, i just want you to tell me if my ideas are correct or not :
As far as i can see the R^2 test is usually used in OLS (ordinary least squares) method where many conditions for data is showed (something like linearity in coefficients, expectation values for perturbations must be zero, and...