Three-dimensional object retrieval method and apparatus

A technology of three-dimensional objects and three-dimensional models, applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2011-07-20
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, although the retrieval mechanism by selecting CV saves time, it reduces the accuracy of retrieval to a certain extent due to the reduction of target views.

Method used

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  • Three-dimensional object retrieval method and apparatus
  • Three-dimensional object retrieval method and apparatus
  • Three-dimensional object retrieval method and apparatus

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Embodiment Construction

[0062] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0063] The idea of ​​the overall retrieval mechanism of the present invention is: first, collect relevant information of different perspectives of each 3D object in the database, and use an adaptive clustering algorithm to find CVs, and establish the corresponding Shock graph skeleton descriptors and Fourier descriptor; secondly, the client is required to input query conditions, such as the input hand drawing, which is the same as the method of extracting the CV shape descriptor, extracting two shape descriptors corresponding to the hand drawing; according to these two shape descriptors, measure All 3D objects in the database with the input image x Q The similarity between them; then calculate the ratio of the area of ​​the 3D obj...

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Abstract

The invention provides a method and a device for retrieving a three-dimensional object, wherein, the retrieval method comprises the following steps: obtaining the characteristic view of a three-dimensional object, and extracting the first Shock diagram skeleton descriptor and the first Fourier descriptor of the characteristic view; extracting the second Shock diagram skeleton descriptor and the second Fourier descriptor of an input picture; calculating the first similarity metric of the first and the second diagram skeleton descriptors; calculating the second similarity metric of the first and the second Fourier descriptors; and obtaining a mixed similarity metric according to the first similarity metric and the second similarity metric, confirming that the characteristic view corresponding to the maximum mixed similarity metric is the view most similar to the input picture, and further confirming that a three-dimensional object corresponding to the characteristic view is the three-dimensional object ready for retrieving. The invention effectively combines the Shock diagram skeleton descriptors and the Fourier descriptors, and realizes excellent 3D-object retrieval performance.

Description

technical field [0001] The invention relates to the field of three-dimensional (3D, Three-Dimensional) object processing, in particular to a 3D object retrieval method based on feature view and shape descriptor fusion. Background technique [0002] With the development of 3D technology, a new type of multimedia data——3D model has been widely used. 3D model is different from traditional multimedia data such as text and audio. It has outstanding features such as vividness, image, and lifelikeness. There have been great developments in many fields such as applications and virtual reality. Advances in computer graphics and model digitization tools have created conditions for constructing high-quality 3D models, and the Internet has provided means for disseminating these models. Now, the application of 3D models is penetrating into every aspect of people's work and life. In order to efficiently obtain and reuse the existing 3D model data resources on the network, and save a lo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 尔桂花钱俊彦戴琼海
Owner TSINGHUA UNIV
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