Data restoration-based incomplete multi-view image data clustering method

A technology for image data and data restoration, applied in instruments and other directions, can solve problems such as incomplete multi-view image data restoration

Active Publication Date: 2022-07-29
山东百盟信息技术有限公司
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Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a data repair-based incomplete multi-view image data clustering method, aiming at solving the problem of how to repair incomplete multi-view image data

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  • Data restoration-based incomplete multi-view image data clustering method
  • Data restoration-based incomplete multi-view image data clustering method
  • Data restoration-based incomplete multi-view image data clustering method

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[0041] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0042] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0043] see figure 1 , a method for clustering incomplete multi-view image data based on data restoration provided by an embodiment of the present invention includes the following steps:

[0044] S1: Input a missing multi-view image dataset;

[0045] S2: Repair the missing multi-view image data set from the data level based on the Pearson correlation coefficient calculation method to obtain a complete multi-view image data set;

[0046] S3: Build a mult...

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Abstract

The invention is suitable for the technical field of computer vision image clustering, and provides a data restoration-based incomplete multi-view image data clustering method, which comprises the following steps of: S1, inputting a missing multi-view image data set; s2, repairing the missing multi-view image data set from the data level based on a Pearson's correlation coefficient calculation method to obtain a complete multi-view image data set; according to the method, on the basis of the similarity between multi-view-angle image data view angles, through a Pearson's correlation coefficient calculation method, the incomplete multi-view-angle image is accurately repaired from the dimension level of the sample, and on the basis that incomplete image data is filled into complete data, the accuracy of repairing the incomplete multi-view-angle image is improved. The filled data is close to the pixel value of the real image data to a great extent, and it is ensured that the image data used for subsequent image clustering model learning contains real and effective information.

Description

technical field [0001] The invention relates to the technical field of computer vision image clustering, in particular to a non-complete multi-view image data clustering method based on data restoration. Background technique [0002] With the flourishing of science and technology, the collection methods of image data have gradually increased, and the image data has begun to show explosive growth, so that the acquired image data is often in an unlabeled state, resulting in insufficient image data to train the model. The formation of clustering technology makes it possible to classify unlabeled image data. [0003] However, due to some objective reasons, the image data collection equipment often causes the acquired image data to be missing (ie, the image data is incomplete), which makes the accuracy of the image clustering model drop sharply. [0004] Therefore, in view of the above situation, it is urgent to provide a non-complete multi-view image data clustering method base...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/762G06V10/74
CPCG06V10/762G06V10/761
Inventor 赵洪伟付强付立军李骜
Owner 山东百盟信息技术有限公司
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