Video face identification algorithm on basis of multi-instance learning
A multi-instance learning and face recognition technology, which is applied in the fields of digital image processing and computer vision, can solve the problems of difficult to accurately locate key frames and low recognition rate, and achieve difficult selection, strong anti-interference ability, and high recognition accuracy. Effect
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 Below in conjunction with accompanying drawing, a kind of color image segmentation method based on histogram that the present invention proposes is described in detail:
 like figure 1 Shown, the video face recognition method of the present invention, its steps are as follows:
 Combine below figure 1 The multi-instance learning-based video face recognition algorithm of the present invention is described in detail.
 First, the preprocessing of the face image is carried out. Gabor wavelet transform can extract the multi-scale and multi-directional local frequency information of the image, can enhance some key features, and has good characteristics in extracting the local spatial frequency domain information of the target. In the field of face recognition, Gabor transform has been widely used.
 The two-dimensional Gabor wavelet function is defined as:
 ψ μ , ...
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