TY - CONF
T1 - Detecting rotational symmetries
T2 - Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
Y1 - 2005
A1 - Shiv Naga Prasad,V.
A1 - Davis, Larry S.
KW - axial
KW - computational
KW - detection;
KW - field;
KW - flow;
KW - geometry;
KW - gradient
KW - graph
KW - graph;
KW - image
KW - image;
KW - magnitude
KW - methods;
KW - multiple
KW - n-sided
KW - object
KW - polygons;
KW - recognition;
KW - rotational
KW - symmetries;
KW - symmetry;
KW - theory;
KW - tire
KW - tyres;
KW - vector
AB - We present an algorithm for detecting multiple rotational symmetries in natural images. Given an image, its gradient magnitude field is computed, and information from the gradients is spread using a diffusion process in the form of a gradient vector flow (GVF) field. We construct a graph whose nodes correspond to pixels in tire image, connecting points that are likely to be rotated versions of one another The n-cycles present in tire graph are made to vote for C_{n} symmetries, their votes being weighted by the errors in transformation between GVF in the neighborhood of the voting points, and the irregularity of the n-sided polygons formed by the voters. The votes are accumulated at tire centroids of possible rotational symmetries, generating a confidence map for each order of symmetry. We tested the method with several natural images.
JA - Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
VL - 2
M3 - 10.1109/ICCV.2005.71
ER -