AAMToolbox Details: Difference between revisions

From BanghamLab
Jump to navigation Jump to search
No edit summary
 
(15 intermediate revisions by the same user not shown)
Line 1: Line 1:
[[Software#AAMToolbox|Back to Software]]
[[Software#Analysing_shapes_in_2D_and_3D:_AAMToolbox|Back to Software]]
==What is the ''AAMToolbox''?==
==<span style="color:Navy;">Shape modelling: what is the AAMToolbox and why'?</span>==
{| border="0" cellpadding="5" cellspacing="3"
'''We wish to understand''' how biological organs grow to particular shapes. For this we need a tool to help us think through what we expect to see (''GFtbox'') and we need to make measurements of real biological organs to test our expectations (hypotheses).
|- valign="top"
<br><br>
|width="300pt"|'''We wish to understand''' how the biological organs grow to particular shapes. For this we need a tool to help us think through what we expect to see, i.e. model growth ([[Software#AAMToolbox|''GFtbox'']]), and we need to make measurements of real biological organs to test our expectations (hypotheses).  
However, the shapes of biological organs rarely make measurement simple - how do you measure the two or three dimensional (2 or 3D) shape of an ear, leaf or Snapdragon flower? It is not enough to, for example, measure the length and width of a leaf. Why not?
 
#Length and width are highly correlated and so you really need only one of them
However, the shapes of biological organs rarely make measurement simple - how do you measure the three dimensional (3D) shape of an ear, leaf or Snapdragon flower? The''' ''AAMToolbox'' is designed to measure the shapes of organs''' relative to each other. It can
#Length and width do not capture curvature of the edges
<br>
We do it by
|[[Image:Various_shapes.png|thumb|left|400px]]
*digitising the outlines using, for example, ''VolViewer''  
|}
*averaging the shapes of many examples ('''Procrustes''') then find the '''principle components''' that contribute to variations from the mean shape. The different components are linearly independent of each other (not correlated). Typically most of the variation from the mean for simple leaves is captured in just the two principle components. The whole process including projections into scale space is available in the ''AAMToolbox''.
[[image:Various shapes.png|400px|center|Shape and appearance models]]Left - '''lip outlines''' vary along the first principle component. Next - '''leaf and petal''' shapes. Right - Rembrandt's '''self portraits''' vary.

Latest revision as of 15:08, 28 November 2013

Back to Software

Shape modelling: what is the AAMToolbox and why'?

We wish to understand how biological organs grow to particular shapes. For this we need a tool to help us think through what we expect to see (GFtbox) and we need to make measurements of real biological organs to test our expectations (hypotheses).

However, the shapes of biological organs rarely make measurement simple - how do you measure the two or three dimensional (2 or 3D) shape of an ear, leaf or Snapdragon flower? It is not enough to, for example, measure the length and width of a leaf. Why not?

  1. Length and width are highly correlated and so you really need only one of them
  2. Length and width do not capture curvature of the edges

We do it by

  • digitising the outlines using, for example, VolViewer
  • averaging the shapes of many examples (Procrustes) then find the principle components that contribute to variations from the mean shape. The different components are linearly independent of each other (not correlated). Typically most of the variation from the mean for simple leaves is captured in just the two principle components. The whole process including projections into scale space is available in the AAMToolbox.
Shape and appearance models

Left - lip outlines vary along the first principle component. Next - leaf and petal shapes. Right - Rembrandt's self portraits vary.