Human face detection method based on context information enhancement
A technology of information enhancement and face detection, which is applied in the field of face detection, can solve problems such as not being able to integrate context information well, achieve the effects of improving detection performance, simple implementation, and ensuring detection efficiency
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[0032] The present invention will be further described below in conjunction with the accompanying drawings.
[0033] figure 2 Described in is an example of the application of the traditional deep convolutional network object detection method in object detection. The structure of this method is relatively simple. It is only composed of multiple convolutional layers and pooling layers stacked in series. The convolution kernel size of these convolutional layers is fixed, and the relative receptive field of each layer is fixed. Characteristic information is limited. Its workflow is as follows: input the original image data into the pre-designed deep convolutional network, after feature extraction, directly classify and regress the candidate targets, and then obtain the category information and location information of the target of interest. The extracted features are relatively fixed, especially for objects with small size or occlusion problems, it is more difficult to extract ...
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