论文信息 - A mixture model for representing shape variation

A mixture model for representing shape variation

The shape variation displayed by a class of objects can be represented as probability density function, allowing us to determine plausible and implausible examples of the class. Given a training set of example shapes we can align them into a common co-ordinate frame and use kernel-based density estimation techniques to represent this distribution. Such an estimate is complex and expensive, so we generate a simpler approximation using a mixture of gaussians. We show how to calculate the distribution, and how it can be used in image search to locate examples of the modelled object in new images.

Timothy F. Cootes | Christopher J. Taylor | C. Taylor | Tim Cootes

[1] R. Cox,et al. Journal of the Royal Statistical Society B , 1972 .

[2] Mansoor Sarhadi,et al. Reconstructing 3D Pose and Motion from a Single Camera View , 1998, BMVC.

[3] D. N. Geary. Mixture Models: Inference and Applications to Clustering , 1989 .

[4] Timothy F. Cootes,et al. Non-Linear Point Distribution Modelling using a Multi-Layer Perceptron , 1995, BMVC.

[5] David J. Hand,et al. Mixture Models: Inference and Applications to Clustering , 1989 .

[6] Timothy F. Cootes,et al. Active Shape Models: Evaluation of a Multi-Resolution Method for Improving Image Search , 1994, BMVC.

[7] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[8] David C. Hogg,et al. Automated Pivot Location for the Cartesian-Polar Hybrid Point Distribution Model , 1995, BMVC.

[9] Timothy F. Cootes,et al. Non-linear generalization of point distribution models using polynomial regression , 1995, Image Vis. Comput..

[10] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .

[11] Christopher J. Taylor,et al. A Method of Non-Rigid Correspondence for AutomaticLandmark Identification , 1996, BMVC.

[12] David C. Hogg,et al. Improving Specificity in PDMs using a Hierarchical Approach , 1997, BMVC.

[13] C. Goodall. Procrustes methods in the statistical analysis of shape , 1991 .