Detection of pose orientation across single and multiple axes in case of 3D face images
In this paper, we propose a new approach that takes as input a 3D face image across X, Y and Z axes as well as both Y and X axes and gives output as its pose i.e. it tells whether the face is oriented with respect the X, Y or Z axes or is it oriented across multiple axes with angles of rotation up t...
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Zusammenfassung: | In this paper, we propose a new approach that takes as input a 3D face image
across X, Y and Z axes as well as both Y and X axes and gives output as its
pose i.e. it tells whether the face is oriented with respect the X, Y or Z axes
or is it oriented across multiple axes with angles of rotation up to 42 degree.
All the experiments have been performed on the FRAV3D, GAVADB and Bosphorus
database which has two figures of each individual across multiple axes. After
applying the proposed algorithm to the 3D facial surface from FRAV3D on 848 3D
faces, 566 3D faces were correctly recognized for pose thus giving 67% of
correct identification rate. We had experimented on 420 images from the GAVADB
database, and only 336 images were detected for correct pose identification
rate i.e. 80% and from Bosphorus database on 560 images only 448 images were
detected for correct pose identification i.e. 80%.abstract goes here. |
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DOI: | 10.48550/arxiv.1309.4577 |