Method for detecting and positioning key characteristic points in face recognition

A key feature and face recognition technology, which is applied to character and pattern recognition, instruments, computer parts, etc., can solve the problems of key feature point positioning errors, affect the overall efficiency and effect of face recognition, and achieve efficient correction and reduce Probability of error, narrowing effect

Inactive Publication Date: 2017-08-18
北京龙杯信息技术有限公司
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Problems solved by technology

[0006] After research, the inventor found that when the face image processed by the image preprocessing method in the prior art is extracted from the key feature points of the subsequent face image, the probability of key feature point positioning error is high, thus affecting the face image. Overall efficiency and effectiveness of recognition

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  • Method for detecting and positioning key characteristic points in face recognition
  • Method for detecting and positioning key characteristic points in face recognition
  • Method for detecting and positioning key characteristic points in face recognition

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[0054] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] In order to improve the efficiency and effect of face recognition, a method for detecting and locating key feature points in face recognition, such as figure 1 shown, including steps:

[0056] S11. Preprocessing the face image;

[0057] In practical applications, the specific process of preprocessing face images can be as follows: figure...

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Abstract

The invention discloses a method for detecting and positioning key characteristic points in face recognition. The method comprises the steps of preprocessing a face image; presetting 22 key characteristic points; according to the calibration sequence of the preset key characteristic points, artificially calibrating the key characteristic points in the training samples for forming a set of shape vector training samples; constructing a global shape model and a local texture model; performing searching positioning on the key characteristic points; optimizing positioning of the key characteristic points; automatically calibrating the key characteristic points and performing normalized outputting of the key characteristic points. Because the method reduces a sampling range, sampling efficiency in subsequent extracting the key characteristic points can be effectively improved.

Description

technical field [0001] The invention relates to biological feature recognition, in particular to a method for detecting and locating key feature points in face recognition. Background technique [0002] Face recognition technology generally includes four components, which are face image acquisition, face image preprocessing, face image feature extraction, and matching and recognition. Specifically: [0003] Face image acquisition and detection refers to the acquisition of video or image data including human faces through video image acquisition devices such as camera lenses, which can be static images, dynamic images, different positions, and different expressions of the acquisition object. [0004] Face image preprocessing refers to determining the part of the face from the collected image data, and performing image preprocessing such as grayscale correction and noise filtering, so that the subsequent face image feature extraction process can be more accurate and efficient....

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/169G06V40/161G06F18/214
Inventor 尹雄于磊路正荣李超超
Owner 北京龙杯信息技术有限公司
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