Method and apparatus for constructing and retrieving a template library

By using a generative variational autoencoder to obtain the mean of vehicle X-ray images as a latent vector, constructing a template library, and retrieving it using Euclidean distance, the problem of low efficiency in template library construction and retrieval in existing technologies is solved, achieving efficient and accurate vehicle recognition.

CN118035476BActive Publication Date: 2026-07-21NUCTECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NUCTECH CO LTD
Filing Date
2023-10-19
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies, especially those based on discriminative neural networks, suffer from low retrieval efficiency and high computational resource consumption when building and retrieving template libraries, particularly when the storage volume is huge. This is especially true in vehicle security inspections, where efficient construction and retrieval of vehicle template libraries are needed to improve recognition accuracy.

Method used

A generative variational autoencoder (VAE) model is adopted. By directly obtaining the mean of the template image as the latent vector, a template library is constructed, and Euclidean distance is used for retrieval. This avoids the generation of new samples and the distribution optimization process, and simplifies the retrieval steps.

Benefits of technology

It improves the efficiency of template library construction and retrieval, reduces the consumption of computing resources, obtains more accurate template data, and enhances the accuracy and robustness of recognition, making it suitable for vehicle recognition in vehicle security inspections.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a template library construction and retrieval method and device, which comprises a template library construction step, in which, for a template image, a latent vector corresponding to the template image is acquired based on a variational autoencoder, and the latent vector is saved to construct a template library; and a template library retrieval step, in which, for a test image, a latent vector corresponding to the test image is acquired based on the variational autoencoder, and the latent vector is used for retrieval in the template library to obtain template data. In the application, the template library construction and retrieval efficiency can be improved through the template library construction and retrieval method and device.
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