×

Registration and comparison of three dimensional objects in facial imaging

  • US 8,605,989 B2
  • Filed: 02/13/2009
  • Issued: 12/10/2013
  • Est. Priority Date: 02/13/2009
  • Status: Expired due to Fees
First Claim
Patent Images

1. A method to determine congruence between a model corresponding to a first three dimensional (3-D) physical object and a model corresponding to a second 3-D physical object based on either complete or incomplete data for at least one of the model of the first 3-D physical object and the model of the second 3-D physical object, comprising:

  • determining, for the model of the first 3-D physical object, a plurality of first tangency points;

    determining, for the model of the first 3-D physical object, a plurality of first lines, wherein each line of the plurality of first lines couples at least two first tangency points such that each line of the plurality of first lines does not intersect a surface defined by the model of the first 3-D physical object in a vicinity of the at least two first tangency points;

    determining, for the model of the second 3-D physical object, a plurality of second tangency points;

    determining, for the model of the second 3-D physical object, a plurality of second lines, wherein each line of the plurality of second lines couples at least two second tangency points such that each line of the plurality of second lines does not intersect a surface defined by the model of the second 3-D physical object in a vicinity of the at least two second tangency points;

    registering the plurality of first lines of the model of the first 3-D physical object and the plurality of second lines of the model of the second 3-D physical object to a common coordinate system;

    determining a measure of discrepancy between the model of the first 3-D physical object and the model of the second 3-D physical object; and

    declaring that the model corresponding to the first 3-D physical object is the same as the model corresponding to the second physical 3-D object if the measure of discrepancy is less than a predefined magnitude.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×