Shape and GFtbox modelling: Difference between revisions

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[[Tutorials on the Shape modelling toolbox#Comparing shapes in Shape-Space]]<br><br>
[[Tutorials on the Shape modelling toolbox#Comparing Shape-Space descriptions with GFtbox models|Comparing Shape-Space descriptions with GFtbox models]]<br><br>
=Title=
===Three parts===
#Statistical shape description using principle components analysis;
#''GFtbox'' modelling;
#Plot growth computed from GFtbox model with the shape model.
[[http://cmpdartsvr3.cmp.uea.ac.uk/wiki/BanghamLab/index.php?title=GFtbox_Tutorial_pages&action=submit#4_Comparing_resultant_shapes_with_observed_organ_shapes| full description]]
 
='''1''' <span style="color:Navy;">'''How''' to analyse 2D shapes using the Graphical User Interface</span>=
='''1''' <span style="color:Navy;">'''How''' to analyse 2D shapes using the Graphical User Interface</span>=
The process of analysing a set of images is:-
The process of analysing a set of images is:-

Latest revision as of 18:41, 14 January 2013

Comparing Shape-Space descriptions with GFtbox models

Three parts

  1. Statistical shape description using principle components analysis;
  2. GFtbox modelling;
  3. Plot growth computed from GFtbox model with the shape model.

[full description]

1 How to analyse 2D shapes using the Graphical User Interface

The process of analysing a set of images is:-

  1. Create a new project. AAMToolbox project names are automatically prefaced with PRJ_. They have a particular directory structure and the images to be analysed need to be copied into the subdirectory called Cropped. It is best if they are all the same size.
  2. Create a point model template. Points are placed around the object of interest, i.e. around a face or leaf. The set of points constitute the point model. Every image will be marked up in the same way.
  3. To digitise each image, move the points to the corresponding positions in each image in turn. The positions must correspond to the same material points in each image, i.e. the tip of the leaf, the corner of an eye, or halfway along a line between the two ends of the mouth.
  4. Generate the shape model using principal component analysis (PCA)
  5. View the result by varying each important component in turn. We call this walking the shape model. This movie shows a walk.
  6. Best fit point model using only the principle components.
<wikiflv width="300" height="300" logo="false" loop="true" background="white">CartoonPC1.flv|CartoonPC1.png</wikiflv>

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