首页> 外国专利> METHOD AND APPARATUS FOR GENERATING LEARNING DATA REQUIRED TO LEARN ANIMATION CHARACTERS BASED ON DEEP LEARNING

METHOD AND APPARATUS FOR GENERATING LEARNING DATA REQUIRED TO LEARN ANIMATION CHARACTERS BASED ON DEEP LEARNING

机译:基于深度学习生成学习动画字符所需的学习数据的方法和装置

摘要

Disclosed are a learning data generation method and apparatus needed to learn animation characters on the basis of deep learning. The learning data generation method needed to learn animation characters on the basis of deep learning may include collecting various images from an external source using wired/wireless communication, acquiring character images from the collected images using a character detection module, clustering the acquired character images, selecting learning data from among the clustered images, and inputting the selected learning data to an artificial neural network for character recognition.
机译:公开了一种在深度学习基础上学习动画特征所需的学习数据生成方法和装置。在深度学习基础上学习动画特征所需的学习数据生成方法可以包括使用有线/无线通信从外部源收集各种图像,使用字符检测模块获取来自收集的图像的字符图像,群集所获取的字符图像,从聚类图像中选择学习数据,并将所选择的学习数据输入到人工神经网络中以进行字符识别。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号