Landmarks-1.0 N Label_1 Landmark 1 . . Label_i Landmark i . . Label_N Landmark N

• N is the number of landmarks in the file
• Label_i is a label for the ith landmark with no whitespaces. Note that the label is not important for the matching; the order of the landmarks is what counts.
• Landmark i is the ith landmark. The format should be:

  
  x  y  z valid dummy
    

  Consists of 3 whitespace-delimited double-precision floating point numbers x, y, z, a "valid" flag (0/1), and a dummy number (usually set to 1).

Landmarks with Covariances File Format:

The format for an input landmark file is as follows:

LandmarksWithVariability N Label_1 Landmark 1 . . Label_i Landmark i . . Label_N Landmark N

• LandmarksWithVariability is the string "LandmarksWithVariability"
• N is the number of landmarks in the file
• Label_i is a label for the ith landmark with no whitespaces. Note that the label is not important for the matching; the order of the landmarks is what counts.
• Landmark i is the ith landmark and its covariance data. The format should be:

  
  x  y  z valid dummy cov1 cov2 ... cov9
    

  Consists of 3 whitespace-delimited double-precision floating point numbers x, y, z, a "valid" flag (0/1), a dummy value (usually 1), and the 3x3 covariance matrix.

LDDMM-Similitude File Format:

The format for an landmark file written out by LDDMM-Similitude, which can be used as input to LDDMM-Landmark is as follows:

N x 3 [ x_1 y_1 z_1 x_2 y_2 z_2 . . x_N y_N z_N ]

LDDMM-Similitude File Format with Covariances:

The format for an landmark file written out by LDDMM-Similitude, to which covariance values can be added and used as input to LDDMM-Landmark is as follows:

N x 3 [ x_1 y_1 z_1 x_2 y_2 z_2 . . x_N y_N z_N ] [ c_1_1 c_1_2 ... c_1_9 c_2_1 c_2_2 ... c_2_9 . . c_N_1 c_N_2 ... c_N_9 ]