3D Data Processing for Enhancement of Face Scanner Data

Date

2009-11-11

Author

BOZKURT, Nesli
Halıcı, Uğur
ULUSOY PARNAS, İLKAY
AKAGUNDUZ, Erdem

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The data acquired by 3D face scanners have distortions such as spikes, holes and noise. Enhancement of 3D face data by removing these distortions while keeping the face features is important for the applications using these data. In this study, thresholding is used for removing spikes, thresholding together with face symmetry, is used for hole filling and bilateral filtering is used for smoothing and satisfactory results are obtained on FRGC 3D face data.

Subject Keywords

Recognition

URI

https://hdl.handle.net/11511/53554

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Department of Electrical and Electronics Engineering, Conference / Seminar