OpenCV-based automatic face recognition book sorting and shelving robot system
A robot system and automatic sorting technology, applied in character and pattern recognition, instruments, sorting, etc., can solve the problems of wasting reading time and insufficient reading time, and achieve the effect of improving recognition speed and accuracy
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[0031] The face recognition of the present invention is mainly composed of three parts: face detection, face representation, and face recognition. When people borrow or return books, the face images collected are generally frontal faces, so the Adaboost face detection algorithm is applied in face detection. The algorithm is based on integral graph, cascaded detectors and Adaboost algorithm, which can detect frontal faces quickly and with high recognition accuracy.
[0032] Such as Figure 5 As shown in the schematic diagram of the invented AdaBoost face positioning detection process, the specific implementation steps of the AdaBoost face detection algorithm are as follows:
[0033] A. Enter a training set (x 1 ,y 1 ),(x 2 ,y 2 ),KK,(x i ,y i ),KK(x n ,y n ), where x i is the i-th sample, y i is the sample target, y i ∈(0, 1); where 0, 1 denote positive and negative targets, respectively. In face detection, 0 can be regarded as a non-human face, and 1 can be regard...
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