MARS - Models of Appearance, Registration and Segmentation

We are approaching a framework whereby labels (segmentation) can be bound to a single image and then automatically be used to infer the labelling in other images. This has the potential of saving a great deal of manual work which traditionally goes into segmenting images. Furthermore, since data from a group of images is used, there ought to be added robustness to noise. This helps in surpassring stand-alone segmentation, which is typically handled by investigating a single image at a time.

The framework, which relies on non-rigid registration, is illustrated schematically below.