Object discovery with perceptual grouping
We propose an iterative method for discovering objects in images. In each iteration, the current estimate of the layout is processed by a sequence of perceptual grouping rules. Perceptual grouping appears to be the basis of visual organization of human. It is concerned with the problem of the formation of wholes from parts. The method does not rely on the mixture of Gaussian model and hence avoids the model selection problem. We use synthetic and real images to demonstrate that the obtained result is better than that obtained by other methods.