Below is a demonstration of the features of the stanford_bunny function
clear; close all; clc;
The stanford_bunny function generates patch data (faces and vertices) defining a relatively coarse representation of the "Stanford bunny" which is a commonly used test model in computer graphics. The surface is not entirely closed as can be seen in the second figure below.
This MATLAB implementation is based on the coarse representation downloadable from: http://www.cc.gatech.edu/projects/large_models/bunny.html
See also: http://www.gvu.gatech.edu/people/faculty/greg.turk/bunny/bunny.html http://graphics.stanford.edu/data/3Dscanrep/
Turk G, Levoy M. Zippered polygon meshes from range images. Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH -94 [Internet]. New York, New York, USA: ACM Press; 1994;311-8. Available from: http://portal.acm.org/citation.cfm?doid=192161.192241
fig_color='w'; fig_colordef='white'; fontSize=15; faceColor='b'; faceAlpha=1; edgeColor='k'; edgeWidth=1;
Obtaining the Stanford bunny patch data (default)
cFigure; title('The Stanford bunny','FontSize',fontSize); gpatch(F,V,'gw'); axisGeom(gca,fontSize); camlight('headlight'); drawnow;
Obtaining the Stanford bunny patch data (other)
hf=cFigure; gtitle('The Stanford bunny'); drawnow; c=gjet(6); for q=0:5 [F,V]=stanford_bunny(q); subplot(2,3,q+1); title(['Model ID ',num2str(q)]); gpatch(F,V,c(q+1,:)); axisGeom(gca,fontSize); camlight('headlight'); end drawnow;
Kevin Mattheus Moerman, [email protected]
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GIBBON: The Geometry and Image-based Bioengineering add-On. A toolbox for image segmentation, image-based modeling, meshing, and finite element analysis.
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