VERT2CON - convert a set of points to the set of inequality constraints which most tightly contain the points; i.e., create constraints to bound the convex hull of the given points
[A,b] = vert2con(V)
V = a set of points, each ROW of which is one point
A,b = a set of constraints such that A*x <= b defines the region of space enclosing the convex hull of the given points
For n dimensions:
V = p x n matrix (p vertices, n dimensions)
A = m x n matrix (m constraints, n dimensions)
b = m x 1 vector (m constraints)
(1) In higher dimensions, redundant constraints can appear. This program detects redundancy at 6 digits of precision (per dimension), then returns the unique constraints.
(2) See companion function CON2VERT.
(3) ver 1.0: initial version, June 2005.
(4) ver 1.1: enhanced redundancy checks, July 2005
(5) Written by Michael Kleder
Michael Kleder (2020). VERT2CON - vertices to constraints (https://www.mathworks.com/matlabcentral/fileexchange/7895-vert2con-vertices-to-constraints), MATLAB Central File Exchange. Retrieved .
Suppose I have V= 30x14 matrix. Can I visualize what are the points lie on the boundary of the convex region? Actually, I want a similar figure as given on the top left of this page "VERT2CON - vertices to constraints". Is it possible?
Thanks in Advance.
Made my life a lot easier. Thank you guys.
Nice program. How do I enforce constraints for points to lie only on the boundary of the convex hull?
Very useful for calculating 3-dimensional convex masks.
A few speedups for newer versions replacing REPMAT with BSXFUN:
V = bsxfun(@minus,V,c);
and in the example:
p = bsxfun(@le,A*p,b);
nice work..keep it up!
great program! and very elegantly coded as well.
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