DocumentCode
2009489
Title
Recovery of contour deformation using steerable filters
Author
Hsu, P. Robert ; Harashima, H.
Author_Institution
Dept. of Electr. Eng., Tokyo Univ., Japan
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2385
Abstract
A motion-based approach is presented to recovering the nonrigid deformation of free-form curved objects. Protrusions and indentations of contours are typically the results of altering curvature structure along the symmetry axes. The recovery task is formulated as a search for a set of lines of curvature on the spatiotemporal surface. These lines of curvature correspond to the tracings of curvature extrema of the plane contour as it is drawn across the time axis. Three-dimensional steerable filters are developed to compute the lines of curvature. The filters analyze the gradient of Gaussian curvature, remove noise by angularly adaptive filtering, and select the dominant orientation direction of the lines of curvature
Keywords
adaptive filters; filtering and prediction theory; picture processing; 3D steerable filters; angularly adaptive filtering; contour deformation recovery; free-form curved objects; gradient of Gaussian curvature; motion-based approach; Adaptive filters; Gaussian noise; Image analysis; Image motion analysis; Image segmentation; Motion analysis; Noise shaping; Object recognition; Shape; Spatiotemporal phenomena;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150872
Filename
150872
Link To Document