3D Face Representation Using Scale and Transform Invariant Features

Date

2008-01-01

Author

Akagündüz, Erdem
Ulusoy, İlkay

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In this study a representation using scale and invariant generic 3D features, for 3D facial models is proposed These generic feature vectors obtained from descriptive parts of the face like eyes, nose, or nose saddle, are then convolved into a graphical model where a characteristic topology for a 3D facial model representation is achieved These scale and invariant 3D features are determined by using the Gaussian (K) and Mean (H) curvature values on the facial surface and by examining various scales in the scale space. The curvatures are used to define fundamental elements on the surface such as, pits, peaks and saddles with their scale, normal and orientation information, where they assemble the mentioned generic features

URI

https://hdl.handle.net/11511/93678

DOI

https://doi.org/10.1109/siu.2008.4632540

Conference Name

IEEE 16th Signal Processing and Communications Applications Conference

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Graduate School of Informatics, Conference / Seminar

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3D object recognition using scale space of curvatures Akagündüz, Erdem; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2011) In this thesis, a generic, scale and resolution invariant method to extract 3D features from 3D surfaces, is proposed. Features are extracted with their scale (metric size and resolution) from range images using scale-space of 3D surface curvatures. Different from previous scale-space approaches; connected components within the classified curvature scale-space are extracted as features. Furthermore, scales of features are extracted invariant of the metric size or the sampling of the range images. Geometric ...

Citation Formats

E. Akagündüz and İ. Ulusoy, “3D Face Representation Using Scale and Transform Invariant Features,” presented at the IEEE 16th Signal Processing and Communications Applications Conference, Aydın, Türkiye, 2008, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/93678.