How to solve the Facial Expression Recognition problem for the Dataset having images with variability in face posture, lighting and occlusions ??

1 次查看（过去 30 天）
saeeda saher
saeeda saher 2018-9-5
I have a dataset which has images with variability in face posture, lighting, and occlusions. I want to recognize facial expressions in real time using the camera. I want to train a model using FER dataset. But due to variation in face postures and occlusions, the classifier will not be able to classify the expressions with good accuracy. I want to detect the face parts like eyes, nose, and mouth which can help to recognize the expressions. Please help me and guide me that how to solve this problem?? How to extract face parts from only frontal images of FER dataset???

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Semantic Segmentation 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by