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An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points.

, , и . IEICE Trans. Inf. Syst., 91-D (7): 1871-1877 (2008)

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Shigeo Yamaguchi

Osamu Ohguchi

Osamu Omuro

Fabian Yamaguchi

Ichiro Yamaguchi

 

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Facial feature localization using weighted vector concentration approach., , , и . Image Vis. Comput., 28 (5): 772-780 (2010)Alignment of 3D Shape Data by Hashing Sets of Feature Points., , и . MVA, стр. 120-123. (2011)An Efficient 3D Geometrical Consistency Criterion for Detection of a Set of Facial Feature Points., , и . IEICE Trans. Inf. Syst., 91-D (7): 1871-1877 (2008)Facial feature localization usingweighted vector concentration approach., , , и . FG, стр. 1-6. IEEE Computer Society, (2008)Face Recognition Using Multi-viewpoint Patterns for Robot Vision., и . ISRR, том 15 из Springer Tracts in Advanced Robotics, стр. 192-201. Springer, (2003)Pattern hashing - object recognition based on a distributed local appearance model., и . ICIP (3), стр. 329-332. IEEE, (2002)Face Recognition Using Temporal Image Sequence., , и . FG, стр. 318-323. IEEE Computer Society, (1998)COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation., , , и . ICCV, стр. 3253-3261. IEEE Computer Society, (2015)Cat face detection with two heterogeneous features., , , и . ICIP, стр. 1213-1216. IEEE, (2009)The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition., и . ACCV (2), том 4844 из Lecture Notes in Computer Science, стр. 467-476. Springer, (2007)