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Multi-angle type number recognition method and system based on model and sparse representations

A sparse representation and recognition method technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of reduced recognition accuracy and poor angular robustness, and achieve the effect of improving angular robustness

Inactive Publication Date: 2012-08-01
BEIJING NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The so-called feature is a selected measure, which remains unchanged or almost unchanged for general deformation and distortion, and only contains as little redundant information as possible. It can be seen that feature extraction plays an important role in decision theory methods , but for the model recognition with small differences, the angle robustness of this method is poor, and the recognition accuracy drops significantly

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  • Multi-angle type number recognition method and system based on model and sparse representations
  • Multi-angle type number recognition method and system based on model and sparse representations
  • Multi-angle type number recognition method and system based on model and sparse representations

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Embodiment 1

[0057] The present invention is described below with an embodiment, but the protection scope of the present invention is not limited. In this embodiment, 4 vehicle models: No1 (audiA2), No2 (audiA6), No3 (Toyota) and No4 (audiA3) are taken as examples, ie k=4, to verify the method. The verification process steps are as follows:

[0058] 1. Adjust the distance from the camera to the rotating object stage to obtain the video files of model vehicles No.1~4;

[0059] 2. Intercept and generate a sample image library Φ from the video file according to a certain angle interval d degree, wherein the number of samples of each model car is n;

[0060] 3. Randomly extract an image from the video file as the image to be recognized Y, and perform random Gaussian projection conversion on the image Y to be recognized to obtain the projection y of the image to be recognized;

[0061] 4. Through the random Gaussian projection conversion method, the m×(kn)-dimensional dictionary matrix A (tha...

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Abstract

The invention discloses a multi-angle type number recognition method and a multi-angle type number recognition system based on model and sparse representations, and relates to the technical field of type number recognition. The multi-angle type number recognition method comprises the steps as follows: S1, obtaining an image of an object to be recognized, and carrying out projection transformation on the image of the object to be recognized so as to obtain a projection of the image of the object to be recognized; S2, according to the preset dictionary and the projection of the image of the object to be recognized, working out a sparse equation to obtain type number information data of the object to be recognized; and S3, according to the type number information data, determining the type number of the object to be recognized. According to the invention, the type number of the image of the object to be recognized shot from any angle is recognized by the model and sparse representations, so that the recognition angle robustness and the recognition precision of the objects with different type numbers in the objects with the same type are improved.

Description

technical field [0001] The invention relates to the technical field of multi-angle model identification, in particular to a multi-angle model recognition method and system based on models and sparse representations. Background technique [0002] With the development and application of high technology, people can obtain more abundant image data than before; the application of image-based target recognition is also becoming more and more extensive. At the same time, with the development of large-scale industrial production, people have produced more and more large objects with the same shape and size, such as automobiles and airplanes. As a result, target recognition is not limited to large types, such as the division of cars and airplanes, and the requirements for type recognition of certain types of large man-made artifacts are becoming increasingly prominent. [0003] Cihai’s annotation for “model” is “the performance, specification and size of machines, tools, etc.” It ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 孙波何珺吴学文余乐军葛凤翔李程
Owner BEIJING NORMAL UNIVERSITY