Non-photorealistic Rendering via Modified Convolutional Neural Model

被引：0

作者：

Srinivasan, Kathiravan ^{[1
]}

Sharma, Anant ^{[1
,2
]}

Ankur, Avinash ^{[1
,2
]}

机构：

[1] Natl Ilan Univ, Dept Comp Sci & Informat Engn, Yilan, Taiwan

[2] LNM Inst Informat Technol, Dept Comp Sci & Engn, Jaipur, Rajasthan, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2017年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For eons, the human kind has been motivated by art. Art is a method to express the feelings of its creator and usually is a combination of the subject matter and the design in an image. The convolutional neural network is a powerful tool able to extract the key and meaningful features from images. Here we try to use the neural network to extract the features from an art and merge it with the content of another image.

引用

页数：2

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