Apply Rigid Body Transformation to Markers Using SVD

This function applies a rigid body transformation to a set of target 3D markers using singular value decomposition (SVD) based on a reference set of 3D markers.

Usage

rigid_body_transformed_markers_svd(reference_data, target_data)

Arguments

reference_data

A matrix or data frame containing the reference 3D marker data (dimensions should be N x 3M, where N is the number of frames and M is the number of markers).

target_data

A matrix or data frame containing the target 3D marker data (dimensions should be N x 3M, where N is the number of frames and M is the number of markers).

Value

A data frame containing the transformed 3D marker data for each frame.