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Foot Modeling Based on Machine Vision and Social Manufacturing Research

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Image and Video Technology (PSIVT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10799))

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Abstract

With the development of productive forces, the manufacturing industry has developed from the “craft manufacturing” of agricultural society to mass production in industrial society, and then to mass customization manufacturing in the information society. In the future, manufacturing will be upgraded to “social manufacturing” in an intelligent society. The Internet of things, cloud computing, social networking, and other related to the most advanced technology will be introduced in the manufacturing process of the whole life cycle of society, aims to make every consumer can participate in the design, manufacture, service and consumption of this product in. In this paper, we discuss the future of highly customized high-end customization in social manufacturing - footwear customization.

On the basis of studying a great deal of related literature, this paper introduces the development of social manufacture of shoes and the socialized production of shoemaking industry, moreover, expounds the working principle of machine vision for 3D model reconstruction and carries out simulation experiments to ensure the correctness of the results.

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Acknowledgments

We would like to acknowledge support in part from the National Natural Science Foundation of China under Grants 61233001, 71232006, 61533019, 61773381 and 61773382; Chinese Guangdong’s S&T project (2015B010103001, 2016B090910001), Dongguan’s Innovation Talents Project (Gang Xiong).

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Correspondence to Gang Xiong .

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Peng, H. et al. (2018). Foot Modeling Based on Machine Vision and Social Manufacturing Research. In: Satoh, S. (eds) Image and Video Technology. PSIVT 2017. Lecture Notes in Computer Science(), vol 10799. Springer, Cham. https://doi.org/10.1007/978-3-319-92753-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-92753-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92752-7

  • Online ISBN: 978-3-319-92753-4

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