Abstract:
We propose a real-time method to accurately track the human head pose in the 3-dimensional (3D) world. Using a RGB-Depth camera, a face template is reconstructed by fitti...Show MoreMetadata
Abstract:
We propose a real-time method to accurately track the human head pose in the 3-dimensional (3D) world. Using a RGB-Depth camera, a face template is reconstructed by fitting a 3D morphable face model, and the head pose is determined by registering this user-specific face template to the input depth video.
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 38, Issue: 9, 01 September 2016)
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