Processing apparatus, system, biometric authentication system, processing method, and computer readable medium

Patent metadata

Field	Value
Publication number	US-2025045985-A1
Application number	US-202418926634-A
Country	US
Kind code	A1
Filing date	Oct 25, 2024
Priority date	Aug 1, 2019
Publication date	Feb 6, 2025
Grant date	—

Abstract

Provided is a processing apparatus capable of obtaining a 2D image from 3D tomographic images, extracting an image for accurate authentication, and extracting an image at a high speed. A processing apparatus includes: means for calculating, from three-dimensional luminance data indicating an authentication target, depth dependence of striped pattern sharpness in a plurality of regions on a plane perpendicular to a depth direction of the target; means for calculating a depth at which the striped pattern sharpness is the greatest in the depth dependence of striped pattern sharpness; rough adjustment means for correcting the calculated depth on the basis of depths of other regions positioned respectively around the plurality of regions; fine adjustment means for selecting a depth closest to the corrected depth and at which the striped pattern sharpness is at an extreme; and means for extracting an image with a luminance on the basis of the selected depth.

First claim

1 . A processing apparatus comprising:
one or more processors; a memory storing executable instructions that, when executed by the one or more processors, causes the one or more processors to perform operations comprising: determining a searching range for depth that is limited to a range in the depth direction from a depth which is a median value of first and second depths at which striped pattern sharpness is a maximum; calculating spatial frequency of a striped pattern by fourier transforming a tomographic image at the first or second depths; determining a range of a plurality of regions on a plane perpendicular to a depth direction of the authentication target; extracting, from three-dimensional luminance data indicating an authentication target, three-dimensional luminance data within the searching range for depth; calculating, from the extracted three-dimensional luminance data within the searching range for depth, depth dependence of striped pattern sharpness in the plurality of regions on the plane perpendicular to the depth direction of the authentication target; calculating a depth at which the striped pattern sharpness is the greatest in the depth dependence of striped pattern sharpness; correcting the calculated depth on the basis of depths of other regions positioned respectively around the plurality of regions; selecting a depth closest to the corrected depth and at which the striped pattern sharpness is at an extreme; and extracting an image with a luminance on the basis of the selected depth.

2 . The processing apparatus according to claim 1 , wherein the operations further comprise:
calculating, for each region, a difference amount between roughly adjusted depth information indicating the corrected depth and finely adjusted depth information indicating the selected depth, in a case in which the difference amount is no less than a threshold value, re-correcting the corrected depth on the basis of depths of other regions positioned respectively around the plurality of regions; re-selecting, as the re-corrected depth, a depth closest to the re-corrected depth and at which the striped pattern sharpness is at an extreme; calculating, for each region, a difference amount between roughly re-adjusted depth information indicating the re-corrected depth and finely re-adjusted depth information indicating the re-selected depth; and extracting the image with the luminance on the basis of the re-selected depth in a case in which the difference amount is less than the threshold value.

3 . The processing apparatus according to claim 1 , wherein the operations further comprise restricting calculation of the depth dependence of the striped pattern sharpness to a specified depth.

4 . The processing apparatus according to claim 1 , wherein the striped pattern sharpness indicates unidirectionality of the striped pattern in the regions.

5 . The processing apparatus according to claim 1 , wherein the striped pattern sharpness indicates unity of spatial frequency in the regions.

6 . The processing apparatus according to claim 1 , wherein the striped pattern sharpness indicates uniformity of luminance in each of light and dark portions in the regions.

7 . The processing apparatus according to claim 1 , wherein the striped pattern sharpness indicates uniformity with respect to widths of light and dark stripes in the regions.

8 . The processing apparatus according to claim 1 , wherein the striped pattern sharpness is a combination of the striped pattern sharpnesses that indicates unidirectionality of the striped pattern in the regions, unity of spatial frequency in the regions, uniformity of luminance in each of light and dark portions in the regions and uniformity with respect to widths of light and dark stripes in the regions, respectively.

9 . The processing apparatus according to claim 1 , wherein the operations further comprise using a median filter.

10 . The processing apparatus according to claim 1 , wherein the operations further comprise using a bilateral filter.

11 . The processing apparatus according to claim 1 , wherein the operations further comprise using a filter for spatial frequency.

12 . A system comprising:
a measuring apparatus configured to capture three-dimensional luminance data indicating a recognition target; and the processing apparatus according to claim 1 , wherein the operations further comprise acquiring a tomographic image having a striped pattern inside the recognition target.

13 . A biometric authentication system comprising:
a measuring apparatus configured to capture three-dimensional luminance data indicating a living body as a recognition target; the processing apparatus according to claim 1 ; wherein the operations further comprise: comparing a tomographic image having a striped pattern inside the recognition target with image data associated with individual information; and identifying an individual through comparison between the tomographic image and the image data.

14 . A processing method comprising:
determining a searching range for depth that is limited to a range in the depth direction from a depth which is a median value of first and second depths at which striped pattern sharpness is a maximum; calculating spatial frequency of a striped pattern by fourier transforming a tomographic image at the first or second depths; determining a range of a plurality of regions on a plane perpendicular to a depth direction of the authentication target; extracting, from three-dimensional luminance data indicating an authentication target, three-dimensional luminance data within the searching range for depth; calculating, from the extracted three-dimensional luminance data within the searching range for depth, depth dependence of striped pattern sharpness in the plurality of regions on the plane perpendicular to the depth direction of the authentication target; calculating a depth at which the striped pattern sharpness is the greatest in the depth dependence of striped pattern sharpness; correcting the calculated depth on the basis of depths of other regions positioned respectively around the plurality of regions; selecting a depth closest to the corrected depth and at which the striped pattern sharpness is at an extreme; and extracting an image with a luminance on the basis of the selected depth.

15 . A non-transitory computer readable medium storing a program, which if executed, causes a computer to perform operations comprising:
determining a searching range for depth that is limited to a range in the depth direction from a depth which is a median value of first and second depths at which striped pattern sharpness is a maximum; calculating spatial frequency of a striped pattern by fourier transforming a tomographic image at the first or second depths; determining a range of a plurality of regions on a plane perpendicular to a depth direction of the authentication target; extracting, from three-dimensional luminance data indicating an authentication target, three-dimensional luminance data within the searching range for depth; calculating, from the extracted three-dimensional luminance data within the searching range for depth, depth dependence of striped pattern sharpness in the plurality of regions on the plane perpendicular to the depth direction of the authentication target; calculating a depth at which the striped pattern sharpness is the greatest in the depth dependence of striped pattern sharpness; correcting the calculated depth on the basis of depths of other regions positioned respectively around the plurality of region

Assignees

• Nec Corp

Inventors

• Ono Yoshimasa
• Nakamura Shigeru
• Shibayama Atsufumi
• Abe Junichi

Classifications

• G06T12/20 Primary

  Inverse problem, i.e. transformations from projection space into object space · CPC title

• G06T12/10 Primary

  Image preprocessing, e.g. calibration, positioning of sources or scatter correction · CPC title

• G06F21/32

  using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title

• G06T2207/10101

  Optical tomography; Optical coherence tomography [OCT] · CPC title

• G06T15/08

  Volume rendering · CPC title