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AUTOID
2005
IEEE

Performance Enhancement of 2D Face Recognition via Mosaicing

11 years 10 months ago
Performance Enhancement of 2D Face Recognition via Mosaicing
We describe a face mosaicing scheme that generates a composite face image during enrollment based on the evidence provided by frontal and semi-profile face images of an individual. Face mosaicing obviates the need to store multiple face templates representing multiple poses of a user’s face image. In the proposed scheme, the side profile images are aligned with the frontal image using a terrain transform that exploits neighborhood properties to determine the transformation relating the 2 images. Multiresolution splining is then used to blend the side profiles with the frontal image thereby generating a composite face image of the user. A local binary pattern matching algorithm is used to compare an input face image with the template face mosaic. Experiments conducted on a small dataset of 27 users indicate that face mosaicing as described in this paper offers significant benefits by accounting for the pose variations commonly observed in face images.
Richa Singh, Mayank Vatsa, Arun Ross, Afzel Noore
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where AUTOID
Authors Richa Singh, Mayank Vatsa, Arun Ross, Afzel Noore
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