arrow
返回

A data-driven robotic Chinese calligraphy system using convolutional auto-encoder and differential evolution

delete2019-10-01
delete21
delete
OA
AI
高新根 封面图
高新根 (Xingen Gao)
周昌乐 封面图
周昌乐 (Changle Zhou)
L
Longzhi Yang
C
Chih‐Min Lin
许涛 封面图
许涛 (Tao Xu)
C
Changjing Shang
Q
Qiang Shen
DOI:10.1016/j.knosys.2019.06.010delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
The Chinese stroke evaluation and generation systems required in an autonomous calligraphy robot play a crucial role in producing high-quality writing results with good diversity. These systems often suffer from inefficiency and non-optima despite of intensive research effort investment by the robotic community. This paper proposes a new learning system to allow a robot to automatically learn to write Chinese calligraphy effectively. In the proposed system, the writing quality evaluation subsystem assesses written strokes using a convolutional auto-encoder network (CAE), which enables the generation of aesthetic strokes with various writing styles. The trained CAE network effectively excludes poorly written strokes through stroke reconstruction, but guarantees the inheritance of information from well-written ones. With the support of the evaluation subsystem, the writing trajectory model generation subsystem is realized by multivariate normal distributions optimized by differential evolution (DE), a type of heuristic optimization search algorithm. The proposed approach was validated and evaluated using a dataset of nine stroke categories: high-quality written strokes have been resulted with good diversity which shows the robustness and efficacy of the proposed approach and its potential in autonomous action-state space exploration for other real-world applications. (C) 2019 Elsevier B.V. All rights reserved.
Keyword:
Robotic Chinese calligraphy
Data-driven evaluation model
Convolutional auto-encoder
Differential evolution
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

Y
yuan ze university
学者数:
3.0K
论文数: 3.4K
被引数: 3
N
Northumbria University
学者数:
5.6K
论文数: 6.8K
被引数: 9.5K
A
Aberystwyth University
学者数:
2.5K
论文数: 2.5K
被引数: 4.3K
X
xiamen university
学者数:
5.9W
论文数: 3.8W
被引数: 67
学者 查看更多机构
引用论文

引用论文

Moving the Masses: Bus-Rapid Transit (BRT) Policies in Low Income Asian Cities
err
IF0
err2019-01-01
err0
PREAI
errSuryani Eka Wijaya; Muhammad Imran
err分享
err收藏
The Pattern of the Mineralization of Enamel
err1961-09-01
err0
errOAAI
errJames K. Avery; Roger L. Visser; Donald E. Knapp
err分享
err收藏
err1997-01-01
err0
PREAI
errRainer Storn; Kenneth Price
err分享
err收藏
An Interactive Image Segmentation Method in Hand Gesture Recognition
errSENSORS
IF3.5
err2017-01-27
err59
errOAAI
errChen, Disi; Li, Gongfa; Sun, Ying; Kong, Jianyi; Jiang, Guozhang; Tang, Heng; Ju, Zhaojie; Yu, Hui; Liu, Honghai
err分享
err收藏
err分享
err收藏
学者 查看更多内容