NAME

       fit_affine_xform_landmarks - Fit Affine Transformation to Landmarks

SYNOPSIS

       fit_affine_xform_landmarks SourcePath TargetPath OutputXform

DESCRIPTION

       Fit a linear affine transformation to a set of matched landmarks.

OPTIONS

   Global Toolkit Options (these are shared by all CMTK tools)
       --help
            Write list of basic command line options to standard output.

       --help-all
            Write complete list of basic and advanced command line options to standard output.

       --wiki
            Write list of command line options to standard output in MediaWiki markup.

       --man
            Write man page source in 'nroff' markup to standard output.

       --version
            Write toolkit version to standard output.

       --echo
            Write the current command line to standard output.

       --verbose-level <integer>
            Set verbosity level.

       --verbose, -v
            Increment verbosity level by 1 (deprecated; supported for backward compatibility).

       --threads <integer>
            Set maximum number of parallel threads (for POSIX threads and OpenMP).

   Main Options
       --rigid
            Fit  only  a  rigid, 6 degree-of-freedom transformation rather than full affine. This
            requires fewer landmarks and makes less trict assumptions about their location (i.e.,
            three non-collinear landmarks are sufficient to obtain a rigid transformation.

AUTHORS

       Torsten  Rohlfing,  with  contributions  from  Michael  P. Hasak, Greg Jefferis, Calvin R.
       Maurer, Daniel B. Russakoff, and Yaroslav Halchenko

LICENSE

       http://www.fsf.org/licensing/licenses/gpl.html

BUGS

       Report bugs at http://nitrc.org/projects/cmtk/

ACKNOWLEDGMENTS

       CMTK is developed with support from the NIAAA under Grant AA021697, National Consortium on
       Alcohol  and  Neurodevelopment  in Adolescence (N-CANDA): Data Integration Component. From
       April 2009 through September 2011, CMTK development and maintenance was supported  by  the
       NIBIB under Grant EB008381.