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An image processing method and device

An image processing and image technology, applied in the field of image recognition, can solve the problems of increasing the computational complexity of feature extraction, affecting the efficiency of recognition, and affecting the efficiency of recognition, so as to achieve a universal image recognition mechanism and solve the problem of poor robustness Effect

Active Publication Date: 2021-07-02
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

However, the feature dimension extracted by LTP is far more than the feature dimension extracted by LBP feature descriptor, which is about 25 times, which greatly increases the computational complexity of the feature extraction process, thus affecting the recognition efficiency.
This brings certain difficulties to the feature representation of the intermediate process, and also affects the efficiency of recognition.

Method used

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  • An image processing method and device
  • An image processing method and device
  • An image processing method and device

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Embodiment Construction

[0072] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0073] The local feature description algorithm used in the existing face recognition technology has the problems of poor robustness, loss of detailed description, and low recognition efficiency.

[0074] In order to solve the above problems, this application provides an image processing method and device, which will be described in detail in the following embodiments one by one.

[0075] The image processing method provided by the embodiment of the present application completes the process of image recognition, espec...

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Abstract

The present application provides an image processing method and device, wherein the method includes: extracting X magnitude images of the image to be processed, and fusing multiple magnitude images in different directions on the same scale to obtain Y fused Amplitude image; encode the Y fused amplitude images, assign weights to each feature value generated after encoding according to the local characteristics of each amplitude image, and obtain the Y fused amplitude images corresponding to Y statistical histograms with weight information, cascading the Y statistical histograms to form a feature vector of the image to be processed. The technical solution provided by the application is applicable to image recognition in a complex environment, and realizes a more universal image recognition mechanism.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to an image processing method and device. Background technique [0002] Over the years, although face recognition technology has made great progress, the uncontrollable factors of the actual scene (such as camera, light, occlusion, angle, age, expression, etc.) have brought a huge impact on the recognition rate of the face recognition system. Therefore, improving the robustness and recognition rate of the recognition system has become one of the important goals. The core of the face recognition process is the feature extraction algorithm, and the usual method to improve the accuracy of face recognition is to find a highly robust feature extraction algorithm. [0003] In the field of computer vision, a lot of research work has been carried out around image feature description and extraction, and various image local feature descriptors suitable for face recognitio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/168G06V40/172
Inventor 李琛肖珂梁梦媞宋威王宝成何云华
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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