Figure to Ground: Felicity Allen Interviewed by Celia Lury

Figure-Ground Separation by Cue Integration

This letter presents an improved cue integration approach to reliably separate coherent moving objects from their background scene in video sequences. The proposed method uses a probabilistic framework to unify bottom-up and top-down cues in a parallel, "democratic" fashion. The algorithm makes use of a modified Bayes rule where each pixel's posterior probabilities of figure or ground layer ass...

Figure Ground Separation by Visual Cortex

Running the figure to the ground: Figure-ground segmentation during visual search

We examined how figure-ground segmentation occurs across multiple regions of a visual array during a visual search task. Stimuli consisted of arrays of black-and-white figure-ground images in which roughly half of each image depicted a meaningful object, whereas the other half constituted a less meaningful shape. The colours of the meaningful regions of the targets and distractors were either t...

Chapter 8. Ground from Figure Discrimination 8.5 Conclusions Chapter 8. Ground from Figure Discrimination Chapter 8. Ground from Figure Discrimination Chapter 8. Ground from Figure Discrimination

Visual processes deal with analyzing images and extracting information from them. They play an important role in many of todays industries, e.g., in the medical instrument industry, the electronic and micro-electronic industry, the movie industry, the robotics industry, and in many other elds which require automatic extraction of visual information from images. One of the major di culties in im...

Ground from Figure Discrimination

This paper proposes a new, e cient, gure from ground discrimination method. This algorithm is based on the assumption that background data features can be more easily detected than gure data features, thus emphasizing the background detection task (and implying the name of the method). Along the iterative labeling process, data features are sequentially and permanently labelled as "background",...