Model-Less 3D Face Pose Estimation
Pp. 132-153 (22)
Fawzi Khattar, Fadi Dornaika and Ammar Assoum
Automatic head pose estimation consists of using a computer to predict the
pose of a person based on a given facial image. Fast and reliable algorithms for
estimating the head pose are essential for many applications and higher-level face
analysis tasks. Many of machine learning-based techniques used for face detection and
recognition can also be used for pose estimation. In this chapter, we present a new
dimensionality reduction algorithm based on a sparse representation that takes into
account pose similarities. Experimental results conducted on three benchmarks face
databases are presented.
Age classification, Age estimation, Age prediction, Dimensionality
reduction, Facial feature extraction, Gabor filter, K-nearest neighbors, Labelsensitive,
Local binary pattern, Local regression, Locality preserving projections,
Machine learning, Marginal fisher analysis, Mean absolute error, Partial least
square regression, Preprocessing, Recognition rate, Support vector regression.
LaMA Laboratory, Lebanese University, Faculty of Science, Section III, Tripoli, Lebanon.