Face detecting method and device

A face detection and face alignment technology, applied in the field of face detection, can solve the problem that the face detection algorithm cannot meet the classification detection accuracy and real-time processing requirements of complex scenes at the same time, so as to reduce the size and improve The effect of speed, good classification effect

Active Publication Date: 2016-07-27
智慧眼科技股份有限公司
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Problems solved by technology

[0007] The present invention provides a face detection method and device to solve the technical problem that the existing face dete

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  • Face detecting method and device
  • Face detecting method and device

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Embodiment Construction

[0041] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0042] A preferred embodiment of the present invention provides a face detection method. Face detection is performed based on a combination of face detection and face alignment, so that the accuracy and speed of face detection can meet the requirements of industrial applications. refer to figure 1 , the inventive method comprises:

[0043] Step S100, scanning the image to be recognized row by row and column by row, and judging whether each input window is a face window;

[0044] Step S200, merging all face windows to obtain the final face area on the original image to be recognized;

[0045] Among them, judging whether each input window is a face window is based on a cascaded classifier base...

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Abstract

The invention discloses a face detecting method and device. Face detection is performed based on a method combining face detection and face alignment. The face detecting method includes scanning to-be-recognized images line by line and row and row and judging each input window is a face window or not; combining all the face windows and obtaining a final face area on the original to-be-recognized images, wherein during a process of judging whether each input window is a face window or not, an Adaboost frame based cascade classifier is used, pixel difference is adopted as extraction characteristics, a random forest classifier acts as a weak classifier for face detection and an irritation algorithm for face alignment and an SVM (Support Vector Machine) classifier is adopted for secondary judgment, and the windows pass the judgment are the face windows. By adopting the above scheme, the invention provides the face detection method and device with accuracy and speed capable of meeting requirements.

Description

technical field [0001] The present invention relates to the field of face detection, in particular to a face detection method and device. Background technique [0002] As the first link in face recognition, face detection technology has been applied in many face-related products. The accuracy of face detection affects the performance of face recognition. Since the face detection effect is affected by occlusion, illumination, posture, expression, etc., it is still difficult to achieve a comprehensive detection of the face. [0003] At present, most face detection technologies are realized through pattern recognition, that is, through classification. It mainly includes two parts: extracting relevant features and classifiers. The currently used features include Haar-like features, LBP (LocalBinaryPattern, local binary pattern) histogram features, HOG (Histograms of Orientation Gradient, gradient direction histogram) features; the classifier used Including AdaBoost cascade cla...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/162G06V40/172
Inventor 孔凡静丁建华
Owner 智慧眼科技股份有限公司
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