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Integral and local characteristic fuse recognition system facing to identification

A technology of local feature and fusion recognition, applied in the field of recognition system

Inactive Publication Date: 2009-05-27
SHANGHAI JIAO TONG UNIV
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  • Integral and local characteristic fuse recognition system facing to identification
  • Integral and local characteristic fuse recognition system facing to identification
  • Integral and local characteristic fuse recognition system facing to identification

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Embodiment Construction

[0034] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0035] This embodiment is applied to identify the spacecraft model in the STK model library. STK is a satellite simulation toolkit produced by AGI Corporation of the United States. This toolkit can not only calculate the orbit, attitude and communication link of the satellite, but also can The real ephemeris information calculates the position and actual illumination of each celestial body. In addition, the toolkit contains a lot of celestial surface texture information and spacecraft models, so it can simulate space vision.

[0036] In the simulation, four types of ...

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Abstract

The invention provides an identification-oriented integral-local feature fusion-recognition system in the technical field of pattern recognition. In the system, a weighted adjacency graph construction module establishes a weighted adjacency graph, and acquires the similarity weight between any two vertices according to category information; a matrix construction module of a training sample receives the similarity weight, and establishes a similar matrix, a degree matrix, a laplacian matrix of the graph, an intra-class scatter matrix and an inter-class scatter matrix for the training sample according to the nearest neighbor principle; a selection module for an optimal regulatory factor selects a regulatory factor value allowing the recognition rate of the training sample to reach maximum as an optimal value of regulatory factors; a projection-matrix acquisition module selects eigenvectors corresponding to top minimum feature values in all feature values as base vectors, so as to form a projection matrix; and a data classification module adopts a minimum distance classifier to recognize the category of test data. The system utilizes the category information of data to depict data relation more accurately, thereby gaining higher recognition performance.

Description

technical field [0001] The invention relates to an identification system in the technical field of telecommunication, in particular to an identification-oriented identification system integrating integral and local features. Background technique [0002] As an existing technology, feature extraction has been successfully applied in face recognition, license plate recognition, video surveillance, target tracking and recognition and other fields. [0003] After searching the prior art documents, it is found that K. Fukunaga. published an article "Introduction to statistical pattern classification" in Academic Press, San Diego, California, USA, 1990. (American Academic Press, San Diego, California, U.S., 1990.) "("Introduction to Statistical Pattern Recognition"), a classic discriminant-oriented feature extraction method - Linear Discriminant Analysis (LDA) is proposed, which maximizes the inter-class scatter matrix and minimizes The intra-class scatter matrix obtains the over...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06K9/6234G06K9/629G06F18/2132G06F18/253
Inventor 赵海涛杨慧军金博敬忠良
Owner SHANGHAI JIAO TONG UNIV
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