Patent ID: 9117105
Filing Date: 2015-08-25
Classification: G06K

Abstract:
1. A three-dimensional face recognition method based on intermediate frequency information in a geometric image, the method comprising: step 1: making a pre-treatment to a test model and a pre-treatment of a library model, wherein the making of either pre-treatment involves: step 2 mapping and extending of intermediate frequency information in a geometric image: step 3: calculating a degree of similarity between the test model and the library model with wavelet domain structure similarity algorithm respectively, wherein a method of calculation is as follows: and a same channel of the corresponding intermediate frequency information image of the library model is represented by where, p indicates C p χ comes from the test model, g indicates C g χ comes from the library model; a number of rows and a number of columns of elements in C p χ and C g χ are denoted as α and β respectively, a 3×3 pixel neighboring region in C p χ is represented by the element c α,β p is a central element in the 3×3 pixel neighboring region in C p χ , a 3×3 pixel neighboring region in C g χ is represented by the element c α,β g is a central element in the 3×3 pixel neighboring region in C g χ , and the structure similarity {tilde over (s)} χ (α,β) between c α,β p , and c α,β g is: where, e1 and e2 represent a row suffix and a column suffix of the elements in C Let α=2, 3, . . . , 15, β=2, 3, . . . , 15, take the average of {tilde over (s)} χ (α,β) as the structure similarity between C p χ and C g χ : and step 4: identity recognizing of three-dimensional face: repeat steps 1 to 3, to obtain the degree of similarity between the test model and each library model, compare the degrees of similarity between the test model and the library models, and judge that the library model with a maximum degree of similarity is a same identity as the test model.