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首页> 外文期刊>Network Daily News >Changchun University of Science and Technology Reports Findings in Sensor Research (A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network)
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Changchun University of Science and Technology Reports Findings in Sensor Research (A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network)

机译:长春科技大学报告发现在传感器研究(一本小说基于红外和可见光图像融合的方法在敌对的神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on Sensor Research is the subject of a report. According to news reporting from Changchun, People’s Republic of China, by NewsRx journalists, research stated, “The presence of fake pictures affects the reliability of visible face images under specific circumstances. This paper presents a novel adversarial neural network designed named as the FTSGAN for infrared and visible image fusion and we utilize FTSGAN model to fuse the face image features of infrared and visible image to improve the effect of face recognition.”
机译:由一个新闻记者在网络新闻编辑每日新闻——新的研究传感器的研究报告的主题。报告从长春人民共和国NewsRx记者,中国研究说,“假照片的存在影响可见脸图像在特定的可靠性环境。敌对的神经网络设计命名为FTSGAN红外和可见光图像融合我们利用FTSGAN模型融合面部形象红外和可见图像的特性得到改善人脸识别的效果。”

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