A 3D Model Feature Extraction Method Based on Compressed Sensing

Abstract

The present invention provides a three-dimensional model feature extraction method based on compressed sensing. First, the three-dimensional model is selected as a three-dimensional model in a discrete voxel format, and then the orientation of each viewing angle is selected as a reference plane, and a contour transformation function is designed to transform the three-dimensional model The spatial layering is realized according to the contour transformation function; secondly, each spatial layering model is projected onto the reference plane, the projection matrix is ​​constructed, and the information entropy of the projection matrix is ​​extracted; finally, each projection matrix is ​​sparsely processed and two-dimensional Compressed sensing processing to obtain spatially hierarchical features. The present invention can reflect the characteristics of the three-dimensional model from multiple angles, realize the spatial hierarchical processing of the three-dimensional model in the voxel format, and perform spatial decomposition on the three-dimensional model of the complex structure, which not only improves the accuracy and efficiency of feature extraction of the three-dimensional model, but also Extract low-dimensional and efficient spatial geometric features to avoid feature redundancy, thereby ensuring the speed and quality of 3D model retrieval.

Description

technical field [0001] The present invention relates to the field of three-dimensional model processing, and more specifically, relates to a three-dimensional model feature extraction method based on compressed sensing. Background technique [0002] With the rapid development of information retrieval technology and the improvement of computer performance, information processing has changed from traditional mode to new mode. Compared with text information and two-dimensional images, more realistic and rich three-dimensional models are more and more widely used. In today's massive 3D model database, how to realize the management and retrieval based on 3D model reuse, and quickly and accurately find the 3D model that meets the requirements has become an important research topic in the retrieval field. [0003] As the fourth multimedia data type after sound, image and video, the development of content-based 3D model retrieval technology has attracted much attention. How to qui...

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Problems solved by technology

[0004] At present, most of the content-based 3D model retrieval methods still have some problems: such as the extracted features cannot fully express the 3D model information, the computational complexity is high, the time for feature extraction and feature matching is long, the feature storage space is large, feature information is easily missing, and cannot Realize user interaction, etc.

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