Scene Partitioning via Statistic-based Region Growing

The scene partitioning problem is to delineate regions in an image that correspond to the same object according to some underlying object model. Examples include partitioning an intensity image into piecewise constant intensities or identifying separate planar regions in a disparity map. A general algorithm for solving the partitioning problem in cases of linear models is presented. The algorithm uses a statistical test in a region growing formalism. The algorithm relies on the assumption that the correct image partition is connected in image coordinates. Experiments are performed on a series of models with a range of state dimensions.