https://selvamsubbiah.com/tags/facial-landmarks-detection/Recent content in Facial-Landmarks-Detection on Selvam SubbiahHugo -- 0.154.3en-usWed, 17 Nov 2021 00:00:00 +0000https://selvamsubbiah.com/mediapipe-facemesh-in-tensorflow-js/Wed, 17 Nov 2021 00:00:00 +0000https://selvamsubbiah.com/mediapipe-facemesh-in-tensorflow-js/<p>In this article, we will walk through an example to identify facial landmarks using the state of the art <a href="https://google.github.io/mediapipe/solutions/face_mesh.html" target="_blank" rel="noopener noreferrer">MediaPipe Face Mesh model</a> . This model is present in the <a href="https://github.com/tensorflow/tfjs-models/tree/master/face-landmarks-detection" target="_blank" rel="noopener noreferrer">Face Landmarks Detection package</a> in <a href="https://www.tensorflow.org/js" target="_blank" rel="noopener noreferrer">TensorFlow</a> <a href="https://www.tensorflow.org/js" target="_blank" rel="noopener noreferrer">.js</a> library’s pre-trained model suite.</p> <p>This is part 1 of a series of articles in which we dive into the details of the Face Mesh model and its usage.</p> <h2 id="1-overview">1. Overview</h2> <p>The MediaPipe Face Mesh model estimates 468 3D facial landmarks in real time covering the overall surface geometry of a human face. It also supports Iris detection that accurately tracks the iris within the eye. Iris detection when enabled provides an additional set of 10 landmarks - 5 points for each eye.</p>