Three-dimensional model retrieval method based on LSTM network multi-modal information fusion
A three-dimensional model, multi-modal technology, applied in digital data information retrieval, three-dimensional object recognition, character and pattern recognition, etc., can solve problems affecting algorithm performance, achieve accurate retrieval results, comprehensive description, and ensure scientific and accurate sexual effect
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[0113] The specific implementation steps are as follows:
[0114] 101: For a given 3D model, normalization processing needs to be performed first, and then its views arranged in order are extracted;
[0115] 1) First of all, it is necessary to use the NPCA method to normalize the 3D model data to ensure that the direction of the 3D model is out of the given orientation, and the scale of the 3D model is within a given size space;
[0116] 2) When using the OpenGL visualization tool to extract the views of the 3D model, take the Z axis as the rotation axis, and extract a view every 30 degrees of rotation angle.
[0117] 102: For the view sequence, extract its view features; further, it is also necessary to extract the skeleton features containing structured information; when extracting, use a parallel computing method to increase the speed of calculating features;
[0118] Use the pre-trained VGG-16 network structure to complete the extraction process of the view features of th...
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