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Color image over-complete block feature extraction method

A color image and feature extraction technology, applied in the field of image recognition and face recognition, which can solve the problems of long time, large amount of calculation, and long sample training time.

Active Publication Date: 2016-03-30
北京万智千鸿科技有限公司
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Problems solved by technology

Although the above-mentioned face recognition method with deeply hidden identity features has a high recognition rate, it requires high calculation requirements, a large amount of calculation, and a relatively long sample training time. Now in most cases, it is necessary to quickly identify, especially for the current mobile device, this method takes a long time and is not very practical

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  • Color image over-complete block feature extraction method
  • Color image over-complete block feature extraction method
  • Color image over-complete block feature extraction method

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Embodiment Construction

[0080] Refer to attached Figure 1~4 , the technical solution of the present invention will be described in detail.

[0081] The present invention is based on the color image over complete block feature extraction method of NIB2DPCA and comprises the following steps:

[0082] A method for extracting features of a color image through a complete block, comprising the following steps:

[0083] S1. Divide the color sample image into blocks;

[0084] Using the complete block mode, the image is divided into multiple modules of different sizes. There are overlapping parts between the modules, and the image combined by all modules is larger than the original image;

[0085] The over-complete block mode means that the sum of the blocks is greater than the original image;

[0086] Assuming that the block to be The color sample image is A i (1≤i≤N), N represents the number of all training samples, m represents the number of rows of the color sample matrix, n represents the number o...

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Abstract

The invention relates to the important fields of artificial intelligence and mode identification, namely, image identification and human face identification, in particular to a color image over-complete block feature extraction method based on a non-iterative bilateral two-dimensional principal component analysis (NIB2DPCA) method. The method comprises: performing over-complete block segmentation on a color image; then performing feature extraction and reconstruction on a sub-image module with the NIB2DPCA method from R, G and B channels; and performing multi-module fusion to finally obtain a classification feature matrix. According to the method, the amount of extracted information is far greater than that of an original image, so that the identification rate of the color image is increased. The method has higher identification accuracy and higher identification speed. The method is applied to the field of human face identification, and the identification speed of the method is increased by a few orders of magnitudes in comparison with that of an over-complete block segmentation based human face identification method for deeply hidden identity characteristics.

Description

technical field [0001] The feature extraction method of over-integrated block of color image of the present invention relates to the important field in artificial intelligence and pattern recognition namely image recognition and face recognition; Block feature extraction method, suitable for face recognition and image recognition. Background technique [0002] Image recognition technology is an important field and research hotspot in artificial intelligence and pattern recognition, with broad application prospects and high theoretical value. In reality, color images provide rich color information for image recognition. So more and more researches use color information to improve the performance of the algorithm. [0003] In image recognition, face recognition is another research hotspot; the most important step in the face recognition process is feature extraction, and principal component analysis (Principal Component Analysis, PCA) is one of the classic algorithms in patt...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/168G06V10/50G06V10/56
Inventor 黄可望
Owner 北京万智千鸿科技有限公司
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