Resegmentation using generic shape: Locating general cultural objects

As a step toward automating the ability to locate generic objects in an image, we propose an approach based on model-driven correction of an initial low-level scene partition . To accomplish this, we define generic data structures for geometric shapes, along with robust rules for parsing the image geometry and performing a shape-motivated resegmentation . We successfully apply the system to the task of locating and outlining complex rectilinear cultural objects in aerial imagery . Kev words: Segmentation, generic data structures, aerial imagery .