Method and apparatus for detecting glasses in a face image

• US 10,395,094 B2
• Filed: 09/05/2017
• Issued: 08/27/2019
• Est. Priority Date: 11/25/2015
• Status: Active Grant

• Current Assignee: Tencent Technology Shenzhen Company Limited (Tencent Holdings Limited)
• Original Assignee: Tencent Technology Shenzhen Company Limited (Tencent Holdings Limited)
• Inventors: Wang, Chengjie, Tan, Guofu, Ni, Hui
• Primary Examiner(s): Couso, Jose L
• Application Number:
  US15/696,016
• Publication Number:
  US 20170364738A1
• Time in Patent Office: 721 Days
• CPC Class Codes: G06F 18/214 Generating training patterns; Bootstrap methods, e.g. bagging or boosting
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 7/337 involving reference images or patches
• CPC Class Codes: G06T 7/74 involving reference images or patches
• CPC Class Codes: G06T 7/90 Determination of colour characteristics
• CPC Class Codes: G06V 10/751 Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
• CPC Class Codes: G06V 10/774 Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
• CPC Class Codes: G06V 40/161 Detection; Localisation; Normalisation
• CPC Class Codes: G06V 40/171 Local features and components; Facial parts eye characteristics G06V40/18; Occluding parts, e.g. glasses; Geometrical relationships
• CPC Class Codes: G06V 40/172 Classification, e.g. identification

Abstract

This application discloses a method and a terminal for detecting glasses in a face image. The method includes: obtaining a face image; determining a nose bridge region in the face image; detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region; and determining whether there are glasses in the face image according to the image change result of the nose bridge region. The terminal for detecting glasses in a face image matches the method.

Claims

1. A method for detecting glasses in a face image performed at a computing device having one or more processors and memory storing one or more programs to be executed by the one or more processors, the method comprising:

obtaining a face image;

determining a nose bridge region, a left eye, and a right eye in the face image;

detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region, wherein the image change is a gradient change in a gray scale of a pixel in the face image, further comprising;

designating first coordinates corresponding to a right corner of the left eye as L(x₁, y₁);

designating second coordinates corresponding to a left corner of the right eye as R(x₂, y₂);

determining a length of the nose bridge region by taking a difference between the horizontal components of the first and second coordinates;

determining a width of the nose bridge region based on a width of the eyes;

designating the width of the nose bridge region as n pixels, wherein n is an integer;

computing a vertical gradient per pixel, w_i, along the width of the nose bridge region to obtain a gradient vector w in the length of n, wherein i is an integer having values from one to n and w={w₁, w₂, . . . , w_n};

computing an average gradient value, u, of the gradient vector w, wherein

2. The method according to claim 1, wherein detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region comprises:

determining a face region in the face image, and positioning the nose bridge region in the face region.

3. The method according to claim 2, wherein determining the face region in the face image, and positioning the nose bridge region in the face region comprises:

performing face location detection in the face image to obtain location information corresponding to the face region; and

performing facial feature registration in the face region according to the location information, to obtain the nose bridge region.

4. A terminal for detecting glasses in a face image, comprising:

one or more processors;

memory; and

a plurality of programs stored in the memory, wherein the plurality of programs, when executed by the one or more processors, cause the terminal to perform a plurality of operations including;

obtaining a face image;

determining a nose bridge region, a left eye, and a right eye in the face image;

detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region, wherein the image change is a gradient change in a gray scale of a pixel in the face image, further comprising;

designating first coordinates corresponding to a right corner of the left eye as L(x₁, y₁);

designating second coordinates corresponding to a left corner of the right eye as R(x₂, y₂);

determining a length of the nose bridge region by taking a difference between the horizontal components of the first and second coordinates;

determining a width of the nose bridge region based on a width of the eyes;

designating the width of the nose bridge region as n pixels, wherein n is an integer;

computing a vertical gradient per pixel, w_i, along the width of the nose bridge region to obtain a gradient vector w in the length of n, wherein i is an integer having values from one to n and w={w₁, w₂, . . . , w_n};

computing an average gradient value, u, of the gradient vector w, wherein

5. The terminal according to claim 4, wherein the plurality of operations comprises:

determining a face region in the face image, and positioning the nose bridge region in the face region.

6. The terminal according to claim 5, wherein determining the face region in the face image, and positioning the nose bridge region in the face region comprises:

performing face location detection in the face image to obtain location information corresponding to the face region; and

performing facial feature registration in the face region according to the location information, to obtain the nose bridge region.

7. A non-transitory computer storage medium in connection with a terminal having one or more processors, storing a plurality of programs, wherein the plurality of programs, when executed by the one or more processors, cause the terminal to perform a plurality of operations including:

obtaining a face image;

determining a nose bridge region, a left eye, and a right eye in the face image;

detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region, wherein the image change is a gradient change in a gray scale of a pixel in the face image, further comprising;

designating first coordinates corresponding to a right corner of the left eye as L(x₁, y₁);

designating second coordinates corresponding to a left corner of the right eye as R(x₂, y₂);

determining a length of the nose bridge region by taking a difference between the horizontal components of the first and second coordinates;

determining a width of the nose bridge region based on a width of the eyes;

designating the width of the nose bridge region as n pixels, wherein n is an integer;

computing a vertical gradient per pixel, w_i, along the width of the nose bridge region to obtain a gradient vector w in the length of n, wherein i is an integer having values from one to n and w={w₁, w₂, . . . , w_n};

computing an average gradient value, u, of the gradient vector w, wherein

8. The non-transitory computer storage medium according to claim 7, wherein detecting an image change in the nose bridge region to obtain an image change result of the nose bridge region comprises:

determining a face region in the face image, and positioning the nose bridge region in the face region.

9. The non-transitory computer storage medium according to claim 8, wherein determining the face region in the face image, and positioning the nose bridge region in the face region comprises:

performing face location detection in the face image to obtain location information corresponding to the face region; and

performing facial feature registration in the face region according to the location information, to obtain the nose bridge region.