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Automatic extraction of head and face boundaries and facial features

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Automatic extraction of facial features from frontal and profile views and their 3D computations

Automatic extraction of head and face boundaries and facial features

GitHub - NanYoMy/facex: Geometrical Face Features Extraction

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Bouzalmat and A. Zarghili and J. Kharroubi and K. Messer and Jiri Matas and J. Kittler and J.

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Feature Extraction Techniques for Face Recognition

Abstract—Creating a friendly human interface for visual communication has become a popular and significant topic. One key issue is to construct a three-dimensional 3-D face model as a visual representation. A 3-D face model can present the desired 3-D facial images related to a specified person by using the realistic 3-D structure and texture description. In order to automatically model the human face, we propose a coarse-to-fine method to extract the facial features from a 2-D head-and-shoulder color image and to map these facial features onto a 3-D template model.

Nasser Ansari, Mohamed Abdel-Mottaleb. We present an algorithm for estimating the coordinates of 3D facial features from frontal and profile view images of the face. The algorithm starts by automatically localizing the 2D facial features in a frontal view image, which is then used as the basis for locating the corresponding 2D facial features in the profile view image. The 3D coordinates are computed from corresponding facial feature's coordinates in both images based on an orthogonal stereo camera set up and perspective projection.