Vector field resampling using local streamline approximation

Author

Thomas, M. ; Kambhamettu, C. ; Geiger, C.A.

Author_Institution

Dept. of Comput. & Info. Sci., Univ. of Delaware, Newark, DE

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, we propose an algorithm to resample coarse vector fields in order to obtain vector fields of a higher density. Unlike the typical linear interpolation scheme, our algorithm attempts to identify streamline characteristics in the flow field, and uses local polynomial parameterization of the flow to perform interpolation. Quantitative validation of the streamline oriented algorithm indicate that the Mean Square Error of the flow field obtained is more accurate than those obtained by bilinear interpolation schemes.

Keywords

interpolation; mean square error methods; polynomial approximation; bilinear interpolation; coarse vector fields; flow field; local polynomial parameterization; local streamline approximation; mean square error; quantitative validation; streamline characteristics; streamline oriented algorithm; vector field resampling; Computer vision; Geography; Grid computing; Interpolation; Mean square error methods; Motion estimation; Motion measurement; Polynomials; Streaming media; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761662

Filename

4761662