Facial image identification method based on word bag model
A face image and recognition method technology, applied in the field of face image recognition, can solve the problems of long time, long running time and consumption of the recognition process, and achieve the effect of shortening time, shortening running time and accurate visual dictionary
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[0036] Such as figure 1 , figure 2 as shown,
[0037] Step 1: Extract the face image in the database, divide the face image into 5×5 regions, and then perform dense feature extraction on each region to obtain a series of feature vectors;
[0038] The Dense-SIFT algorithm is used for uniform sampling, and image features are extracted at 2-pixel intervals, and the size of each sampling grid corresponds to different databases. Different scale parameters will be set, and each feature point extracted is 128-dimensional. vector, so each region gets a set of feature vectors.
[0039] Step 2: Use the binary K-means clustering algorithm to cluster the feature vectors representing each region, generate a visual dictionary, match the feature vectors with the visual dictionary, generate a histogram of the corresponding region, and then use a face image with visual word histogram to represent;
[0040] Generate a visual dictionary by the following method,
[0041] Step 2.1: Treat a g...
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