Abstract
In order to use deep learning theory to model the appearance of industrial products, in order to use its advanced technology to improve the efficiency of industrial product modeling design, a deep learning-based industrial product modeling design method is proposed. The ingenious points of appearance design can be found through the deep learning database. The modeling structure of industrial products is analyzed from three aspects of right-angle modeling, bevel modeling and special-shaped modeling, and the projection can be transformed by the calculation method of the model. Reduce the time required for calculation under hardware conditions. In the three-dimensional distribution area m × m of the product, the texture segmentation of the image pixel intensity at the maximum pixel point is carried out to complete the 3D geometric modeling of the industrial product modeling design. The 3D modeling, modeling evaluation and modeling storage operation of the industrial product modeling elements are carried out to realize the industrial product modeling design. The experimental results show that the industrial product modeling design method based on deep learning has better output performance, higher product fidelity and better visualization effect.
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Lin, G., Ding, Y. (2021). Research on Industrial Product Modeling Design Method Based on Deep Learning. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_10
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DOI: https://doi.org/10.1007/978-3-030-82562-1_10
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