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Proceedings Paper

Reliability metric for multiparameter motion estimation and its application
Author(s): Toshiyuki Yoshida; Yoshinori Sakai
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Paper Abstract

This paper proposes a reliability metric for multiparameter motion estimation. The proposed reliability is defined as an ensemble average of squared estimation error for multiple motion parameters, which is an extension of our previous work for translational motion models to multiparameter motion models. The proposed reliability is then applied to a four-parameter motion model to illustrate validity of the approach. A simplified version of the reliability is also considered to clarify meaning and properties of the reliability. Finally, the proposed reliability is applied to an extended blockmatching method to reduce computational cost without increasing estimation error.

Paper Details

Date Published: 10 January 1997
PDF: 12 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263269
Show Author Affiliations
Toshiyuki Yoshida, Tokyo Institute of Technology (Japan)
Yoshinori Sakai, Tokyo Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

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