Bayesian shape recognition using Principle Component Analysis and Modified Chain Codes

@article{Oh2008BayesianSR,
  title={Bayesian shape recognition using Principle Component Analysis and Modified Chain Codes},
  author={Chi-Min Oh and Chil-Woo Lee},
  journal={2008 International Conference on Control, Automation and Systems},
  year={2008},
  pages={2138-2141}
}
This paper represents a shape recognition method using PCA (principal component analysis) and Bayesian probability with MCC (modified chain code). MCC is a shape descriptor which is invariant in 2D shapepsilas scale, translation and rotation. Shape prior information is analyzed by PCA using shape database. We recognized shapes by Bayesian probability with shape prior information. In this paper we describe traditional chain code to describe object features and using its modification version, PCA… CONTINUE READING