This paper describes a technique for building compact models of the shape
and appearance of flexible objects seen in two-dimensional images. The models are
derived from the statistics of sets of images of example objects with 'landmark' points
labelled on each object. Each model consists of a flexible shape template, describing how
the landmarh points can vary, and a statistical model of the expected grey levels in
regions around each point. Such models have proved useful in a wide variety of
applications. We describe how the models can be used in local image search and give
examples of their applicarion.