A 3D Object Fusion Feature Representation Method Based on Multimodal Feature Fusion
A feature fusion and feature fusion technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., to achieve the effect of excellent multimodal information fusion
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[0022] Below in conjunction with accompanying drawing, the present invention is further described;
[0023] A 3D object fusion feature representation method based on multimodal feature fusion, the steps are as follows:
[0024] Step (1), process multi-view through multi-view neural network Figure three dimension information;
[0025] Such as figure 1 As shown, multiple independent CNNs that do not share weights are used to input multi-view information, and then through Max-pooling, the outputs of multiple CNNs are unified into one output, and a discriminator (that is, a non-linear network based on a fully connected layer) is added. classifier) to classify the model.
[0026] First, convert the 3D model data into multi-view data. The specific method is to place 12 cameras evenly around the 3D model (that is, at intervals of 30 degrees) on the middle horizontal plane of the 3D model, and take a group of 12 pictures as the 3D model. multi-view representation of . Then use...
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