Alvey MMI-007 Vehicle Exemplar: Image Segmentation and Attribute Generation

The MMI-007 project uses both bottom-up and top-down strategies to deal with the difficult problem of object recognition in outdoor scenes. Within this scheme, bottom-up methods fulfil the requirements of providing a concise image description suitable for symbolic reasoning and of providing an initial set of hypotheses to 'bootstrap' the top-down processes. The nature of the imagery does not lend itself easily to the derivation of precise 3-D structural information by optical-flow or stereo techniques. This leads us to call upon a range of static segmentation techniques , each individually capable of capturing some aspect of the diffuse information present in our images. For example, surface, texture and colour homogenity, and boundary smoothness and continuity.