View source for Tutorials on the Shape modelling toolbox

[[Software#AAMToolbox|Back to AAMToolbox Documentation]]<br><br>
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The models shown in these tutorials illustrate features of the AAMToolbox software. They are not designed to understand the shape and appearance modelling which is better done from the published literature [http://www.computer.org/portal/web/csdl/doi/10.1109/34.982900 for example].<br>
Viewing these pages. Some versions of ''Firefox'' and ''Explorer'' do not create satisfactory prints even though you can view the pages with no problems. ''Chrome'' does appear to produce good printouts.
=<span style="color:Navy;">Fives ways to use ''AAMToolbox ''=
1) [[AAMToolbox Documentation#2 Creating shape models in 2D| '''Analysing shapes.''']] i.e. the arrangement of points around a shape<br><br>
2) [[AAMToolbox Documentation#5 Viewing the data in shape space| '''Viewing the data in ''shape space''.''']] i.e. approximating the data with two principle components<br><br>
3) [[AAMToolbox Documentation#1 Creating shape models in 2D| '''Comparing shapes from samples of different groups''']] for example, comparing faces from different cartoon characters<br><br>
4) [[AAMToolbox Documentation#3 Analysing both shape and appearance in 2D|'''Analysing shape and appearance.''']] In addition to the points around a shape, analyse the appearance (grey scale or colour) within the shape.<br><br> 
5) [[AAMToolbox Documentation#4 Creating shape models in 3D|'''Analysing 3D shapes''']] 
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'''How to use these tutorials.''' First [[AAMToolbox Download|download and install the AAMToolbox]]. A zip file containing the project (''PRJ_CartoonFaces'') is available [http://cmpdartsvr1.cmp.uea.ac.uk/downloads/software/PRJ_CartoonFaces.zip here]. Download and unzip into a directory. Then, from Matlab, change directory into the project and launch the AAMToolbox 
 cd PRJ_CartoonFaces
 AAMToolbox 
This project contains as set of faces that have been analysed using 2D shape models
<gallery caption="The set of faces" widths="60px" heights="100px" perrow="8" border="0">
 Image:CB1.jpg
 Image:CB2.jpg
 Image:CB3.jpg
 Image:CB4.jpg
 Image:CB6.jpg
 Image:CB7.jpg
 Image:CB8.jpg
 Image:CB9.jpg
 </gallery>
='''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:-
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#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.
#*[[AAMToolbox new project|Tutorial on making a new project.]]
#'''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. 
#*[[AAMToolbox template|Tutorial on point model template.]]
#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.
#*[[AAMToolbox point model editor|Tutorial on point model editor.]]
#Generate the shape model using''' principal component analysis (PCA)'''
#*[[AAMToolbox statistical model generator|Tutorial on statistical model generator.]]
#'''View the result''' by varying each important component in turn. We call this ''walking'' the shape model. This movie shows a walk.
#*[[AAMToolbox viewing statistical model|Tutorial on viewing statistical model.]]
#'''Best fit point model''' using only the principle components.
#*[[AAMToolbox simplify point model|Tutorial on fitting a model to a particular image.]]
|width="300pt"|<wikiflv width="300" height="300" logo="false"  loop="true" background="white">CartoonPC1.flv|CartoonPC1.png</wikiflv><br>
Mean shape (points) joined by lines. The movie shows deviations from the mean by varying the principle component.
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='''2''' <span style="color:Navy;">'''Viewing the results''' in ''Shape-Space''.''' What is Shape-Space?'''</span>=

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#PCA allows us to view the data from a new angle: ''Shape Space'' rather than normal viewing space. This movie shows a trajectory through shape space that is projected back into normal viewing space.
#*[[AAMToolbox viewing one population in shape space|Tutorial on shape space.]]
|width="300pt"|<wikiflv width="300" height="300" logo="false"  loop="true" background="white">CartoonPC2.flv|PC2_cartoon_2.png</wikiflv><br>
Interpolating a walk from one point model shape to another in shape space.
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=Seen these elsewhere?=
[[Image:PortraitsMEANSsmaller.jpg|800px]]
='''3''' <span style="color:Navy;">'''Comparing shapes''' in ''Shape-Space''.</span>=

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None of the above portraits exist. They were created by placing point models on samples of each painters work and computing the PCA of both the shape and the appearance. Each image is the mean shape coloured with the mean appearance. They are arranged in date order: Giotto (~1300), Leonardo da Vinci (~1600), Valazquez (~1630), Rembrandt (~1650), Modigliani (~1900), Soutine (~1930).
#Compare shapes of different populations in shape space.
#*Groups of samples can be projected into a common shape space and compared. In this case portraits. 
#*By focussing on the main contributions to shape it might be possible to relate positions in shape space to, for example, genotype in leaves ([http://www.pnas.org/content/102/29/10221.short Langlade ''et al'' 2005.],[http://www.tandfonline.com/doi/abs/10.2976/1.2836738 Bensmihen ''et al.'' 2010]) and petals ([http://www.sciencemag.org/content/313/5789/963.short Whibley ''et al'' 2006],[http://www.mssaleshops.info/content/21/10/2999.short Feng ''et al''. 2010])
|width="300pt"|[[Image:AAMToolboxPortraitsShapeSpace.jpg|400px]]Portraits by different painters projected into a shape space created by PCA of all the results. Conclusions?
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