Robust 2D/3D Face Landmarking

Localization of facial feature points is an important step for registration and normalization of both two and three-dimensional (2D and 3D) face images. Challenging conditions, especially illumination and pose variations decrease the accuracy and robustness of facial feature landmarking. We can deal...

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Bibliographic Details
Published in2007 3DTV Conference pp. 1 - 4
Main Authors Akakin, H.C., Akarun, L., Sankur, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2007
Subjects
Active shape model
Computational complexity
Discrete cosine transforms
Face detection
Facial features
Lighting
Mouth
Nose
Robustness
Testing
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Summary:Localization of facial feature points is an important step for registration and normalization of both two and three-dimensional (2D and 3D) face images. Challenging conditions, especially illumination and pose variations decrease the accuracy and robustness of facial feature landmarking. We can deal with these challenges on the one hand by resorting to graph-based methods that incorporate some anthropometrical information and on the other hand by using jointly 2D and 3D face data. We evaluate the contributions to the accuracy of facial feature localization of graph-based methods and of joint usage of 2D and 3D information for feature localization.
ISBN:9781424407217
1424407214
ISSN:2161-2021
2161-203X
DOI:10.1109/3DTV.2007.4379487