Facial feature models
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Kinship classification by modeling facial feature heredity Abstract: We propose a new, challenging, problem in kinship classification: recognizing the family that a query person belongs to from a set of families. We propose a novel framework for recognizing kinship by modeling this problem as that of reconstructing the query face from a mixture of parts from a set of families.




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JavaScript is disabled for your browser. Some features of this site may not work without it. Facial feature localization using highly flexible yet sufficiently strict shape models. Author Tamersoy, Birgi. Share Facebook.



A 3D Statistical Facial Feature Model and Its Application on Locating Facial Landmarks
Methods so far developed for 2D images were shown sensitive to lighting condition changes. In this paper, we propose a learning-based approach for reliable locating of face landmarks in 3D. Our approach relies on a statistical model, called 3D Statistical Facial feAture Model SFAM in the paper, which learns both global variations in 3D face morphology and local ones around the 3D face landmarks in terms of local texture and shape. Experimented on FRGC v1.





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