A refined coherent point drift (CPD) algorithm for point set registration

Peng Wang, Ping Wang, ZhiGuo Qu, YingHui Gao, ZhenKang Shen
2011 Science China Information Sciences  
The coherent point drift (CPD) algorithm is a powerful approach for point set registration. However, it suffers from a serious problem-there is a weight parameter w that reflects the assumption about the amount of noise and number of outliers in the Gaussian mixture model, and its value has an influence on the point set registration performance In the original CPD algorithm, the value of w is set manually, and hence an improper value will lead to poor registration results. To solve this
more » ... a fully automatic algorithm for the selection of an optimal weight parameter is proposed using a hybrid optimization scheme that combines the genetic algorithm with the Nelder-Mead simplex method. The experiments show that the refined CPD algorithm is more effective and extends the original CPD algorithm in its methodology and applications. Keywords point set registration, Gaussian mixture model (GMM), coherent point drift (CPD), genetic algorithm (GA), simplex Citation Wang P, Wang P, Qu Z G, et al. A refined coherent point drift (CPD) algorithm for point set registration.
doi:10.1007/s11432-011-4465-7 fatcat:cjezrf47cndbfneizhlsuuyviy