Linear Shape Recognition with Mixtures of Point Distribution Models
This paper demonstrates how the EM algorithm can be used for learning and matching mixtures of point distribution models. We make two contributions. First, we show how to shape-classes can be learned in an unsupervised manner. Second, we show how recognition by alignment can be realised by fitting a mixture of linear shape deformations. We evaluate the method on the problem of learning class-structure and recognising Arabic characters.
KeywordsRecognition Rate Test Pattern Independent Component Analysis Training Pattern Deformable Model
- 3.Duta N., Jain A., Dubuisson P. (1999). Learning 2D Shape Models. International Conference on Computer Vision and pattern Recognition, Vol 2, PP. 8–14, 1999.Google Scholar
- 5.Duda R., Hart P. (1973) Pattern Classification and Scene Analysis. Wiley.Google Scholar
- 8.I. T. Jolliffe. (1986). Principal Component Analysis. Springer-Verlag, 1986.Google Scholar