IEEE Trans Image Process - Fitting multiple connected ellipses to an image silhouette hierarchically.

Tópicos

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Resumo

In this paper, we seek to fit a model, specified in terms of connected ellipses, to an image silhouette. Some algorithms that have attempted this problem are sensitive to initial guesses and also may converge to a wrong solution when they attempt to minimize the objective function for the entire ellipse structure in one step. We present an algorithm that overcomes these issues. Our first step is to temporarily ignore the connections, and refine the initial guess using unconstrained Expectation-Maximization (EM) for mixture Gaussian densities. Then the ellipses are reconnected linearly. Lastly, we apply the Levenberg-Marquardt algorithm to fine-tune the ellipse shapes to best align with the contour. The fitting is achieved in a hierarchical manner based upon the joints of the model. Experiments show that our algorithm can robustly fit a complex ellipse structure to a corresponding shape for several applications.

Resumo Limpo

paper seek fit model specifi term connect ellips imag silhouett algorithm attempt problem sensit initi guess also may converg wrong solut attempt minim object function entir ellips structur one step present algorithm overcom issu first step temporarili ignor connect refin initi guess use unconstrain expectationmaxim em mixtur gaussian densiti ellips reconnect linear last appli levenbergmarquardt algorithm finetun ellips shape best align contour fit achiev hierarch manner base upon joint model experi show algorithm can robust fit complex ellips structur correspond shape sever applic

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