Got wrong normal vector
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AI-CHI Chang
el 10 de Ag. de 2022
Comentada: AI-CHI Chang
el 14 de Ag. de 2022
I wrote a code presented the scatter points on a peak function, and now I want to solve for unit normal vectors at those points.
ok...maybe this is a math problem...why I got a result looks like tangetial vector...
The arrow on the surrounding flat plant looks good but the peak's normal vectors obviously wrong.
% function handler
f = @(x,y)2*(1-x).^2.*exp(-(x.^2) - (y+1).^2) ...
- 5*(x/5 - x.^3 - y.^5).*exp(-x.^2-y.^2) ...
- 1/3*exp(-(x+1).^2 - y.^2); % z
rng('default');
ds = 0.0005;
range = (-2:ds:2)';
width = 4;
x = -width+(width-(-width))*rand(length(range),1); %
y = -width+(width-(-width))*rand(length(range),1); % r = a + (b-a).*rand(N,1)
z = f(x,y);
p = [x y z];
p_origin = p;
num_pt = size(p,1);
syms s t
f1 = 2*(1-s).^2.*exp(-(s.^2) - (t+1).^2) ...
- 5*(s/5 - s.^3 - s.^5).*exp(-s.^2-t.^2) ...
- 1/3*exp(-(s+1).^2 - t.^2);
dfs = diff(f1,s);
dft = diff(f1,t);
normal_x = matlabFunction(dfs);
normal_y = matlabFunction(dft);
normal = [normal_x(x,y),normal_y(x,y),-ones(num_pt,1)];
norm_nor = sqrt(sum(normal.*normal,2));
normal = bsxfun(@rdivide,normal,norm_nor);
% draw arrow
x=p(:,1);
y=p(:,2);
z=p(:,3);
u=normal(:,1);
v=normal(:,2);
w=normal(:,3);
plot3(x,y,z,'b.');
axis equal;
grid on;
view(45,15);
hold on;
quiver3(x,y,z,u,v,w,'r','LineWidth',1,'MaxHeadSize',5);
6 comentarios
Bruno Luong
el 10 de Ag. de 2022
Your normal is alright just your graphic representation tricks your brain.
Respuesta aceptada
David Goodmanson
el 12 de Ag. de 2022
Editada: David Goodmanson
el 12 de Ag. de 2022
Hi AC,
You were quite right in your suspicions of the 3d plot, which looks fishy. You might call this a configuration control issue. You have two independent functions, f and f1, that are supposed to represent the same thing. That carries some risk in programming. The two functions are supposed to be identical with x <--> s, y <--> t. But if you compare their second lines,
- 5*(x/5 - x.^3 - y.^5).*exp(-x.^2-y.^2) ... % f
- 5*(s/5 - s.^3 - s.^5).*exp(-s.^2-t.^2) ... % f1
you can see that there is a problem with the y.^5 term. I'm not sure which version is correct, but if you change y.^5 to x.^5, or if you change s.^5 to t.^5, in both cases the normal vectors in the plot are pretty clearly normal.
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