Sign in. Maybe you were wondering how you can place funny objects on faces in real-time video chats or detect emotions? A challenging task in the past was detection of faces and their features like eyes, nose, mouth and even deriving emotions from their shapes. I will show you such an approach in this post. Cambridge Face Tracker or its newer OpenFace incarnation.
Detecting facial features using Deep Learning
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. An efficient approach for facial feature detection using geometrical face model Abstract: Most of the conventional approaches for facial feature detection use the template matching and correlation techniques. These kinds of approaches are very time-consuming and therefore impractical in a real-time systems. In this paper, we propose a useful geometrical face model and an efficient facial feature detection scheme. Based on the fact that human faces are constructed in the same geometrical configuration, the proposed scheme can accurately detect facial features, especially the eyes, even when the images have complex backgrounds.
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