MATLAB: Implementation of subclass from triangulation

classcrashhierarchyoop

Hi everyone,
I am trying to implement a derived class from the 'triangulation' class available in Matlab 2014. The aim is to introduce additional properties and methods. I tried to mimic the example available in the Matlab documentation, but I failed even in creating a simple constructor. The minimal example is the following
classdef mymesh < triangulation
properties
Obj = [];
end
methods
% constructor
function primal = mymesh(P,T,M) % M is the object code
primal = primal@triangulation(T,P);
primal.Obj = M;
end
end
end
But trying to call it with the code
P = [0 0 0; 0 1 0; 1 1 0; 1 1 1];
T = [1 2 3 4];
M = ones(size(T,1),1);
c = mymesh(P,T,M);
makes Matlab crash. Can anyone point my were I am wrong?
Thank you in advance
Fabio

Best Answer

Fabio,
To follow up on Rebecca's (correct, IMO) answer, you can overload properties and methods of the triangulation class, to make your new class look exactly like a triangulation.
classdef MyTri
properties(Hidden = true)
TR
end
properties(Dependent)
Points
ConnectivityList
end
methods
function obj = MyTri(varargin)
% your constructor here, which creates a triangulation and stores it in obj.TR
end
function p = get.Points(obj)
% Property getter method, so that MyTri.Points behaves like triangulation.Points
p = obj.TR.Points;
end
function c = get.ConnectivityList(obj)
% Another property getter
c = obj.TR.ConnectivityList;
end
end
end
If you're familiar with python, using the dependent property with a getter is similar to using python's @property decorator on a class method (I'm a MATLAB guy but have to admit that python deals with this way more elegantly).
You may also wish to add a custom isa() method, to return true for both 'MyTri' and 'triangulation' objects in a fashion consistent with the application of isa() to a subclass. I've left that out here, because of course this isn't strictly a subclass.
Adding set.Points and set.ConnectivityList methods (very similar syntax to the getters example above) will allow you to modify your triangulation as normal, if that's what you require.
Finally, having done this myself, I have a bunch of methods to overload the triangulation class methods, just by passing variables through. To save anyone the unbelievable nuisance of duplicating this work, here they are (Caveat emptor: My unit tests don't have 100% coverage yet, so please test them as you use them!):
% Overload all the triangulation class methods for this class
function PC = barycentricToCartesian(obj, ti, B)
PC = barycentricToCartesian(obj.TR, ti, B);
end
function B = cartesianToBarycentric(obj, ti, PC)
B = cartesianToBarycentric(obj.TR, ti, PC);
end
function [CC, r] = circumcenters(obj, varargin)
[CC,r] = circumcenters(obj.TR, varargin{:});
end
function ti = edgeAttachments(obj, varargin)
ti = edgeAttachments(obj.TR, varargin{:});
end
function E = edges(obj)
E = edges(obj.TR);
end
function FN = faceNormal(obj, varargin)
FN = faceNormals(obj.TR, varargin{:});
end
function FE = featureEdges(obj, filterangle)
FE = featureEdges(obj.TR, filterangle);
end
function [FBtri, FBpoints] = freeBoundary(obj)
[FBtri, FBpoints] = freeBoundary(obj.TR);
end
function [IC,r] = incenter(obj,ti)
[IC,r] = incenter(obj.TR,ti);
end
function [tf] = isConnected(obj,varargin)
tf = isConnected(obj.TR,varargin{:});
end
function [vi,d] = nearestNeighbor(obj,varargin)
[vi,d] = nearestNeighbour(obj.TR,varargin{:});
end
function N = neighbors(obj, varargin)
N = neighbors(obj.TR, varargin{:});
end
function SZ = size(obj)
SZ = size(obj.TR);
end
function ti = vertexAttachments(obj, varargin)
ti = vertexAttachments(obj.TR, varargin{:});
end
function VN = vertexNormal(obj,varargin)
VN = vertexNormal(obj.TR,varargin{:});
end
Hope this helps, please upvote me if it does :)
Tom