CN112733732A - Face detection and recognition method based on feature analysis - Google Patents
Face detection and recognition method based on feature analysis Download PDFInfo
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- CN112733732A CN112733732A CN202110038668.5A CN202110038668A CN112733732A CN 112733732 A CN112733732 A CN 112733732A CN 202110038668 A CN202110038668 A CN 202110038668A CN 112733732 A CN112733732 A CN 112733732A
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- 238000007781 pre-processing Methods 0.000 claims abstract description 6
- 238000012216 screening Methods 0.000 claims abstract description 5
- 230000001815 facial effect Effects 0.000 claims description 13
- 210000000056 organ Anatomy 0.000 claims description 8
- 238000012937 correction Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 5
- 238000010606 normalization Methods 0.000 claims description 5
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- 230000009466 transformation Effects 0.000 claims description 2
- 230000014509 gene expression Effects 0.000 abstract description 4
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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Abstract
The invention discloses a face detection and identification method based on feature analysis, which comprises the following steps: shooting and collecting the human face through a camera; carrying out face positioning detection on the shot picture; performing quality detection on the preliminarily detected images, screening face images which meet standards, and extracting face images in the face images; then, preprocessing the face image; extracting the features of the face image; and then the extracted feature data of the face image and a feature template stored in a database are searched, matched and identified. According to the face detection and identification method based on feature analysis, the face is photographed and collected through the camera, different face images can be collected through the camera lens, for example, static images, dynamic images, different positions, different expressions and the like can be well collected, and when a user is in the photographing range of the acquisition equipment, the acquisition equipment can automatically search and photograph the face images of the user.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a face detection and recognition method based on feature analysis.
Background
Face recognition is a biometric technology for identity recognition based on facial feature information of a person. A series of related technologies, also commonly called face recognition and face recognition, are used to collect images or video streams containing faces by using a camera or a video camera, automatically detect and track the faces in the images, and then perform face recognition on the detected faces. The existing face recognition equipment has low recognition efficiency.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a face detection and identification method based on feature analysis, which has the advantages of high efficiency, high speed and the like and solves the problem of low identification efficiency.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: a face detection and identification method based on feature analysis comprises the following steps:
1) shooting and collecting the human face through a camera;
2) carrying out face positioning detection on the shot picture;
3) performing quality detection on the preliminarily detected images, screening face images which meet standards, and extracting face images in the face images;
4) then, preprocessing the face image;
5) extracting the features of the face image;
6) then, the extracted feature data of the face image and a feature template stored in a database are searched, matched and identified;
7) and outputting the recognition result.
Preferably, the face location detection accurately calibrates the position and size of the face in the image.
Preferably, the face image preprocessing includes one or more of light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering, and sharpening of the face image.
Preferably, the facial image feature extraction includes matching based on geometric features and templates.
Preferably, the geometric features are used for obtaining feature data which is helpful for face classification according to shape description of face organs and distance characteristics between the face organs, wherein the feature components generally comprise euclidean distances, curvatures, angles and the like between feature points, the face is composed of parts such as eyes, a nose, a mouth, a chin and the like, and the geometric description of the parts and the structural relationship between the parts can be used as important features for identifying the face.
Preferably, the feature data of the face image extracted by the face image matching and recognition is searched and matched with a feature template stored in a database, and the face recognition is to compare the face features to be recognized with the obtained face feature template and judge the identity information of the face according to the similarity degree.
(II) advantageous effects
Compared with the prior art, the invention provides a face detection and identification method based on feature analysis, which has the following beneficial effects:
the human face detection and identification method based on the characteristic analysis comprises the steps of shooting and collecting human faces through a camera, collecting different human face images through a camera lens, collecting static images, dynamic images, different positions, different expressions and the like well, automatically searching and shooting human face images of a user by collection equipment when the user is in the shooting range of the collection equipment, achieving higher efficiency, simultaneously carrying out human face positioning detection through pictures, carrying out quality detection on the primarily detected images, screening out the human face images meeting standards, extracting human face pictures in the human face images, carrying out next processing better, preprocessing the human face images again, carrying out one or more of light compensation, gray level conversion, histogram equalization, normalization, geometric correction, filtering and sharpening on the pictures, the human face image can better remove other external impression factors in the human face, the removal effect is better, simultaneously, the human face features in the image are better extracted, the feature extraction efficiency is higher, simultaneously, the extracted human face features are identified, the feature data which is beneficial to human face classification is obtained by describing the shapes of human face organs and the distance characteristics between the human face organs, the identification efficiency is higher and more convenient by identifying the human face which is formed by eyes, a nose, a mouth, a chin and other parts, the geometric features and the template matching are identified through the human face image features, the feature data of the identified and extracted human face image is searched and matched with the feature template stored in the database, the human face identification is to compare the human face features to be identified with the obtained human face feature template, the identity information of the human face is judged according to the similarity degree, and the identification is more convenient, efficiency is improved, the result of judging is output, and efficiency is higher and more convenient.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of the complete process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
the camera is used for shooting and collecting the face, different face images can be collected through the camera lens, and for example, static images, dynamic images, different positions, different expressions and the like can be well collected;
carrying out face positioning detection on the shot picture, and accurately calibrating the position and size of the face in the image;
performing quality detection on the preliminarily detected images, screening face images which meet standards, and extracting face images in the face images;
then, the face image is preprocessed, and one or more of light compensation, gray level conversion, histogram equalization, normalization, geometric correction, filtering and sharpening is/are carried out on the image, so that other external impression factors in the face are better removed from the face image;
extracting the features of the face image, describing the shapes of the face organs and the distance characteristics between the face organs to obtain feature data which is beneficial to face classification, identifying the face by locally forming the face by eyes, a nose, a mouth, a chin and the like, and identifying the geometric features and the template matching by the features of the face image;
then the extracted feature data of the face image is searched, matched and identified with a feature template stored in a database, the face features to be identified are compared with the obtained face feature template, and the identity information of the face is judged according to the similarity degree, so that the identification is more convenient;
and outputting the identification result and judging whether the identification result is correct or not.
The human face is shot and collected through the camera, different human face images can be collected through the camera lens, such as static images, dynamic images, different positions, different expressions and other aspects can be well collected, when a user is in the shooting range of the collecting device, the collecting device can automatically search and shoot the human face images of the user, the efficiency is higher, meanwhile, the human face positioning detection is carried out through the photos, the quality detection is carried out on the primarily detected images, the human face images which meet the standards are screened out, the human face images in the images are extracted, the next step of processing is better carried out, the human face images are preprocessed again, one or more of light compensation, gray level conversion, histogram equalization, normalization, geometric correction, filtering and sharpening are carried out on the images, and other external impression factors in the human face are better removed through the human face images, the removal effect is better, simultaneously, the facial features in the image are better extracted, the feature extraction efficiency is higher, simultaneously, the extracted facial features are identified, the shape description of the face organs and the distance characteristics between them to obtain feature data that helps in face classification, by identifying the local components of the human face, such as eyes, nose, mouth, chin and the like, the identification efficiency is higher and more convenient, identifying geometric characteristics and template matching through facial image characteristics, searching and matching the characteristic data of the facial image extracted by identification with the characteristic template stored in the database, comparing the facial characteristics to be identified with the obtained facial characteristic template, the identity information of the human face is judged according to the similarity degree, the identification is more convenient, the efficiency is improved, the judged result is output, and the efficiency is higher and more convenient.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A face detection and recognition method based on feature analysis is characterized by comprising the following steps:
1) shooting and collecting the human face through a camera;
2) carrying out face positioning detection on the shot picture;
3) performing quality detection on the preliminarily detected images, screening face images which meet standards, and extracting face images in the face images;
4) then, preprocessing the face image;
5) extracting the features of the face image;
6) then, the extracted feature data of the face image and a feature template stored in a database are searched, matched and identified;
7) and outputting the recognition result.
2. The method of claim 1, wherein the face location detection accurately scales the position and size of the face in the image.
3. The method of claim 1, wherein the face image preprocessing comprises one or more of light compensation, gray scale transformation, histogram equalization, normalization, geometric correction, filtering, and sharpening of the face image.
4. The method of claim 1, wherein the facial image feature extraction comprises geometric feature and template matching.
5. The method according to claim 4, wherein the geometric features are used to obtain feature data that is helpful for face classification according to the shape description of the face organs and the distance characteristics between them, the feature components generally include Euclidean distances, curvatures, angles, etc. between feature points, the face is composed of eyes, nose, mouth, chin, etc., and the geometric description of these parts and their structural relationship can be used as important features for face recognition.
6. The method of claim 1, wherein the facial image matching and feature data of the extracted facial image is searched and matched with a feature template stored in a database, the facial features to be recognized are compared with the obtained facial feature template, and the identity information of the face is judged according to the similarity degree.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117496449A (en) * | 2024-01-02 | 2024-02-02 | 深圳火眼智能有限公司 | Method and related device for detecting atmospheric pollutants in construction site based on image analysis |
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- 2021-01-12 CN CN202110038668.5A patent/CN112733732A/en active Pending
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Cited By (2)
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| CN117496449A (en) * | 2024-01-02 | 2024-02-02 | 深圳火眼智能有限公司 | Method and related device for detecting atmospheric pollutants in construction site based on image analysis |
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