reparam_image

Finds the optimal warping function between two images using the elastic
framework

alignment

image

Performs alignment, PCA, and modeling of multidimensional and
unidimensional functions using the square-root velocity framework
(Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014
<DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic
analysis of functional data through phase and amplitude separation.

J Derek Tucker

fdasrvf

Elastic Functional Data Analysis

J. Derek Tucker

Aymeric Stamm

reparam_image function

<dl><dt>It</dt>
<dd>template image matrix</dd>
<dt>Im</dt>
<dd>test image matrix</dd>
<dt>gam</dt>
<dd>initial warping array</dd>
<dt>b</dt>
<dd>basis matrix</dd>
<dt>stepsize</dt>
<dd>gradient stepsize (default=1e-5)</dd>
<dt>itermax</dt>
<dd>maximum number of iterations (default=1000)</dd>
<dt>lmark</dt>
<dd>use landmarks (default=FALSE)</dd></dl>

Arguments

Find optimum reparameterization between two images — reparam_image

<dl>

<dt>It</dt>
<dd>template image matrix</dd>


<dt>Im</dt>
<dd>test image matrix</dd>


<dt>gam</dt>
<dd>initial warping array</dd>


<dt>b</dt>
<dd>basis matrix</dd>


<dt>stepsize</dt>
<dd>gradient stepsize (default=1e-5)</dd>


<dt>itermax</dt>
<dd>maximum number of iterations (default=1000)</dd>


<dt>lmark</dt>
<dd>use landmarks (default=FALSE)</dd>

</dl>

reparam_image: Find optimum reparameterization between two images

Description

Usage

Value

Arguments

References