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A Product Alignment Method Based on Unsupervised Feature Point Detection

A feature point detection and feature point technology, applied in the field of artificial intelligence, can solve problems such as the impact of recognition accuracy, product alignment, and high cost, and achieve the effects of saving labeling costs, easy identification, and high accuracy.

Active Publication Date: 2022-04-15
SUN YAT SEN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

2. Most of the product recognition tasks do not align the products
[0004] The shortcomings of the existing technology are: 1. Training requires a large amount of labeled image data, and manual labeling or design of object structures is very costly for most object categories
2. Due to the high cost of labeling and the complex product structure, the current product recognition task is not aligned, which has a certain impact on the recognition accuracy

Method used

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  • A Product Alignment Method Based on Unsupervised Feature Point Detection
  • A Product Alignment Method Based on Unsupervised Feature Point Detection
  • A Product Alignment Method Based on Unsupervised Feature Point Detection

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Embodiment Construction

[0021] The accompanying drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, certain components in the accompanying drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product; for those skilled in the art It is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The positional relationship described in the drawings is for illustrative purposes only, and should not be construed as a limitation on this patent.

[0022] Such as figure 1 As shown, a product alignment method based on unsupervised feature point detection, which includes the following steps:

[0023] S1. Feature point detection training data preparation;

[0024] S2. Detection frame model training;

[0025] S3. Feature point detection;

[0026] S4. Affine transformation alignment is performed according to the feature point coo...

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Abstract

The present invention relates to the technical field of artificial intelligence, and more specifically, to a product alignment method based on unsupervised feature point detection. A product alignment method based on unsupervised feature point detection, which includes the following steps: S1. Feature point detection training data preparation; S2. Detection frame model training; S3. Feature point detection; S4. Affine according to feature point coordinates Transform alignment. The present invention is used on the subsequent recognition network of products after feature point detection and alignment. Compared with direct recognition without alignment, the accuracy rate will be significantly higher, because the network is easier to recognize forward objects than inclined objects; for existing The supervised feature point alignment of , this method can save the labeling cost.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and more specifically, to a product alignment method based on unsupervised feature point detection. Background technique [0002] At present, there is no uniform alignment method for no product, and most of the related tasks are not aligned. The existing alignment methods are also supervised and marked with feature points first, but manually marked feature points are not rude for different products. Great, and the cost of manual annotation is very high. Therefore, it is very meaningful to use it in the commodity field if it can unsupervised and adaptively find commodity structure feature points that can resist rotation. [0003] The prior art is: 1. The existing commodity feature point detection is to use the labeled data to pre-train the feature point detection model, and then predict and align the feature points of the commodity pictures. 2. Most of the product recogni...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06F16/953
CPCG06Q30/0631G06Q30/0643
Inventor 康乐潘嵘
Owner SUN YAT SEN UNIV
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