人类对于事物的喜恶,最直观的表现就是表情,但带标记表情样本不足是影响识别准确率的因素之一。因此借助于GAN强大的图像生成能力,端到端的学习以及级联CNN,实现基于视频的实时自然多目标人脸表情识别,有效识别“生气/厌恶/恐惧/高兴/悲伤/惊讶”6种表情。
1.模型主要框架:
2.GAN生成的多表情多姿态图像:
- 实时演示系统展示结果:
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