Human face detection method and human face detection system

Abstract

The invention discloses a human face detection method and a human face detection system. The human face detection method comprises the following steps of establishing a convolutional neural network framework, wherein the convolutional neural network framework at least comprises a candidate region generation network, a correction network and a multi-information output network; connecting the convolutional neural network framework with a data preparation module; running the candidate region generation network, and generating multiple first human face candidate region frames; running the correction network, screening the first human face candidate region frames, performing position correction on the residual first human face candidate region frames, and performing non-maximum suppression; andrunning the multi-information output network, screening the first human face candidate region frames, performing the position correction on the residual first human face candidate region frames, performing the non-maximum suppression, and outputting human face feature points and human face poses corresponding to the residual first human face candidate region frames and the first human face candidate region frames.

Description

technical field [0001] The invention relates to the technical field of software development, in particular to a face detection method and a face detection system. Background technique [0002] At present, there are two main directions for face detection. One is the traditional face detection method using features plus classifiers, such as the widely used VJ face detector; the other is the face detection method based on deep learning framework. [0003] The traditional feature plus classifier face detection method has two main defects. One is that it is sensitive to factors such as size, angle, and image quality, and the detection effect is not robust enough. The other is that the detection speed of small faces on large images is not fast enough. quick. The face detection method using the deep learning framework has greatly improved the detection effect. Today's advanced detection methods can detect faces below 20 pixels × 20 pixels while controlling false detections, and th...

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Problems solved by technology

However, this method is usually slow, and most methods are difficult to meet the requ

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