US 11,600,009 B2 · Aligning data sets based on identified fiducial markers

Abstract

Techniques are disclosed for aligning fiducial markers that commonly exist in each of multiple different N-dimensional (N-D) data sets. Notably, the N-D data sets are at least three-dimensional (3D) data sets. A first set and a second set of N-D data are accessed. A set of one or more fiducial markers that commonly exist in both those sets are identified. Based on the fiducial markers, one or more transformations are performed to align the two sets. Performing this alignment process results in at least a selected number of the common fiducial markers that exist in the two sets being within a threshold alignment relative to one another.

Claims20

Dependent claims

A method for aligning fiducial markers that commonly exist in each of multiple different N-dimensional (N-D) data sets, wherein the N-D data sets are at least three-dimensional (3D) data sets, said method comprising:

accessing a first set of N-D data;
accessing a second set of N-D data;
identifying a set of one or more fiducial markers that commonly exist in both the first set of N-D data and the second set of N-D data;
and
based on the identified set of one or more fiducial markers, perform one or more transformations to the first set of N-D data and/or the second set of N-D data to align the first set of N-D data with the second set of N-D data, wherein said aligning results in at least a selected number of the common fiducial markers that exist in the second set of N-D data being within a threshold alignment relative to the corresponding common fiducial markers that exist in the first set of N-D data.

2 more elements

Dependencies are inferred from the claim text.

Aligning data sets based on identified fiducial markers

Life of this patent

Aligning data sets based on identified fiducial markers

Life of this patent

Abstract

Claims20