In the last post we talked about age and gender classification from face images using deep convolutional neural networks. In this post we will show a similar approach for emotion recognition from face images that also makes use of a novel image representation based on mapping Local Binary Patterns to a 3D space suitable for finetuning Deep Convolutional Neural Networks [8]:

Our method was presented in the following paper:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

For code, models and examples, please see our project page.

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