Abstract

Flexible models of object classes, based on linear combinations of prototypical images, are capable of matching novel images of the same class and have been shown to be a powerful tool to solve several fundamental vision tasks such as recognition, synthesis and correspondence. The key problem in creating a specific flexible model is the computation of pixelwise correspondence between the prototypes, a task done until now in a semiautomatic way. In this paper we describe an algorithm that automatically bootstraps the correspondence between the prototypes. The algorithm -- which can be used for 2D images as well as for 3D models -- is shown to synthesize successfully a flexible model of frontal face images and a flexible model of handwritten digits. 1 Introduction In recent papers we have introduced a new type of flexible model for images of objects of a certain class. The idea is to represent images of a certain type -- for instance images of frontal faces -- as the linear combination ...

Citations