GJK algorithm distance of closest points in 3D

Version 1.1.0.0 (20,1 KB) von Philippe Lebel
Computes the coordinates where the minimum distance between two convex polyhedrons occure.
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Aktualisiert 5. Jan 2018

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It uses the GJK algorithm to find the point, on the minkowsky negative sum of the polyhedrons, closest to the origin. It then uses barycentric coordinates to find the the points on those polyhedrons belonging to the selected point on the minkowsky negative sum.
A video made by Casey Muratori as well as an implementation of the GJK collision detection made by Matthew Sheen right here on matlabcentral have helped me a lot to understand what I was doing.
https://mollyrocket.com/849
https://www.mathworks.com/matlabcentral/fileexchange/57907-fast-3d-collision-detection-gjk-algorithm

Zitieren als

Philippe Lebel (2025). GJK algorithm distance of closest points in 3D (https://www.mathworks.com/matlabcentral/fileexchange/62429-gjk-algorithm-distance-of-closest-points-in-3d), MATLAB Central File Exchange. Abgerufen.

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Erstellt mit R2016a
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GJK DISTANCE/

Version Veröffentlicht Versionshinweise
1.1.0.0

Updated for a case where we instantly converge and a variable was not assigned.
1.0.0.0

added thumbnail picture, no code was modified.