A data-driven intermediate level feature extraction algorithm
Published in IEEE Transactions on Pattern Analysis and Machine Intelligence • Jul 1, 1989
NobleIDNI3P59W54R99S40
Authors:
D.S. Chen
Abstract
An algorithm is presented that is based on the regression updating theory for fitting linearly parameterizable curves without prior classification of edge data. An initial estimate of a hypothesized curve is first obtained by a statistical windowing technique. A search region is determined and itera...
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