... h systems almost always employ conventional control strategies. Biological systems, on the other hand, learn. In the beginning they are functional only at a very basic level from which they improve the ...
I just noticed that there is a bug in the code that manifests itself in "later" versions of Matlab. The bug is related to the Matlab function called IMFILTER. What happens is that when calculating the diffusio ...
... that we will be using is as follows:
\[ \frac = DIV \big( g(x,y,t) \nabla I_k \big) \]
, where \( k \) refers to the image channel in question (e.g. R, G or B), \( g(x,y,t) \) is a function that defines ...
... \Phi| c \]
\[ \Phi_t = |\nabla \Phi| DIV \Big( \dfrac \nabla \Phi \Big) + \nabla g(I) \cdot \nabla \Phi \]
where \( \Phi \) is a level-set function defining the segment, \( g(I) \) is a `stopping' ...
... unravels the interplay between structure and function in lipid model systems and phenomena on sub-cellular, cellular, and supra-cellular levels in the field of developmental biology, neurobiology, or membran ...
... using the diffusion function.
From the links below you can download both the tutorial and the realted code:
Download the tutorial (PDF)
See the tutorial on-line
Download the code
...
...
//-COARSE-TO-FINE ALGORITHM FOR CALCULATING OPTICAL FLOW
//-Late linearisation (i.e. uses warping)
//-Robust error functions in both the data and the smoothness terms
//-Inputs are \(I_0\) and ...
...
//-COARSE-TO-FINE ALGORITHM FOR CALCULATING OPTICAL FLOW
//-Late linearisation (i.e. uses warping)
//-Robust error functions in both the data and the smoothness terms
//-Inputs are \(I_0\) an ...
... ) and \( \alpha_2 \) are the likelihood functions' parameters. Likelihood is defined as follows:
\[ p \Big ( I | \alpha_ \Big) = p \Bigg ( \ | \alpha_i \Bigg ) \]
where \( \alpha_i \) is a paramet ...
... c Variational Model for Optical Flow
In the variational optical-flow calculation the energy functional describing the system is as follows:
\[ E(u,v) = \min_ \int_ \Psi \Big( Edata(u,v)^2 \Big) dx ...
... ook at my thesis. In the variational disparity calculation the energy functional describing the system is as follows:
\[ E(d) = \min_ \int_ \Psi \Big( Edata(d)^2 \Big) dx + \alpha \int_ \Psi \Big( Esmoo ...
... vantage points of the scene being viewed. Therefore, corresponding image features, between left and right cameras (or eyes), differ in position as a function of depth. This difference is called disparity. ...