Motion Data Denoising Based on the Quaternion Lifting Scheme Multiresolution Transform

• Autorzy: Szczesna A. , Slupik J. , Janiak M.
• Języki publikacji: EN

Abstrakty

EN

We discuss human body motion denoising with use of the transform based on second generation wavelet. To build such a transform, we use the quaternion lifting scheme. The main focus is placed on representing body parts orientation changes over time with quaternions as a technique both compact and more efficient than the representation of the Euler angles of rotation. Our denoising method is based on a soft threshold algorithm but is directly to the quaternion motion data in the resulting multiresolution representation.

Słowa kluczowe

EN

quaternions; multiresolution analysis; wavelet transform; lifting scheme; motion data denoising

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2011
• Tom: Vol. 20, No. 3
• Strony: 237--249
• Opis fizyczny: Bibliogr. 19 poz., wykr.

Twórcy

autor

Szczesna A.

• The Silesian University of Technology, Institute of Informatics, Gliwice, Poland

autor

Slupik J.

• The Silesian University of Technology, Institute of Mathematics, Gliwice, Poland

autor

Janiak M.

• The Silesian University of Technology, Institute of Informatics, Gliwice, Poland

Bibliografia

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