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Sketch Recognition and Interaction Design Based on Machine Learning

  • Wei Feng
  • WanFeng Mao
  • Baiqiao HuangEmail author
  • Guanqun Zhang
  • Pengyi Zhang
  • Xing Li
  • Jian Su
  • Xingjun Yuan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 576)

Abstract

Aiming at the problem of the high similarity of military graphic elements and low success rate of recognition when applied to sketched drawings, a form of sketch recognition technology based on deep learning algorithms is proposed, a human–computer interaction system for sketch drawing is developed on the basis of this technology, and also an improved design scheme for human–computer interaction is proposed. Experimental verification shows that such technology improves the success rate of military graphic element recognition and the efficiency of sketch drawing.

Keywords

Sketch drawing Human–computer interaction Artificial intelligence Machine learning 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Wei Feng
    • 1
  • WanFeng Mao
    • 1
  • Baiqiao Huang
    • 1
    • 3
    Email author
  • Guanqun Zhang
    • 2
  • Pengyi Zhang
    • 1
  • Xing Li
    • 1
  • Jian Su
    • 1
  • Xingjun Yuan
    • 1
  1. 1.System Engineering Research Institute of China State Shipbuilding CorporationBeijingChina
  2. 2.China CNTC International Tendering CorporationBeijingChina
  3. 3.Pilot National Laboratory for Marine Science and TechnologyQingdaoChina

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