Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Spectral embedding provides a framework for solving perceptual organization problems, including image segmentation and figure/ground organization. From an affinity matrix describing pairwise relationships between pixels, it clusters pixels into regions, and, using a complex-valued extension, orders pixels according to layer. We train a convolutional neural network (CNN) to directly predict …