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Stereo based 3D Head Pose Tracking using the Scale Invariant Feature Transform
Authors: Batu Akan, Mujdat Cetin, Aytul Ercil
Published in: SIU 2008 - The IEEE 16th Signal Processing, Communication and Applications Conference (in Turkish)
Publication year: 2008
Abstract: Turkish title: Olcekten Bagimsiz Oznitelik Donusumu Kullanarak Stereo Kamera ile Uc Boyutlu Kafa Takibi
In this paper a new stereo-based 3D head tracking technique, based on scale-invariant feature transform (SIFT) features is proposed. A 3D head tracker is very important preprocessing for many vision applications. The proposed method is robust to out of plane rotations and translations and also invariant to sudden changes in time varying illumination. We present experiments to test the accuracy of our SIFT based 3D tracker on sequences of synthetic and real stereo images.
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