The shape of a data set can be defined as the total of all information undertranslations rotations and scale changes to the data. Over the last decadeshape anal... » 

The shape of a data set can be defined as the total of all information undertranslations rotations and scale changes to the data. Over the last decadeshape analysis has emerged as a promising new field of statistics withapplications to morphometrics pattern recognition archaeology and otherdisciplines. This book provides a comprehensive coverage of the statisticaltheory of shape. Both the Kendall and the Bookstein schools of shape analysisare described. It is written for graduate students and researchers instatistics who have some knowledge of multivariate models. An understanding ofthe basic concepts of differential manifolds is also helpful. «