Title :
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
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;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761662
