Generative adversarial classifier for handwriting characters super-resolution
作者:
Highlights:
• cylinder primitive extraction is addressed as a clustering problem of possible cylinder candidates;
• candidates are generated by cutting the scene through several random planes;
• a novel cylinder similarity function based on dual quaternion algebra is defined;
• the clustering process, based on Game Theory, inherently discards incompatible candidates;
• the proposed method can deal with noisy, partially occluded and non-oriented point clouds.
摘要
•cylinder primitive extraction is addressed as a clustering problem of possible cylinder candidates;•candidates are generated by cutting the scene through several random planes;•a novel cylinder similarity function based on dual quaternion algebra is defined;•the clustering process, based on Game Theory, inherently discards incompatible candidates;•the proposed method can deal with noisy, partially occluded and non-oriented point clouds.
论文关键词:Super-Resolution,Generative adversarial networks (GAN),Handwriting characters recognition
论文评审过程:Received 22 April 2019, Revised 22 April 2020, Accepted 13 May 2020, Available online 24 May 2020, Version of Record 7 June 2020.
论文官网地址:https://doi.org/10.1016/j.patcog.2020.107453