title: Binocular model for figure-ground segmentation in translucent and occluding images
abstract: A Fourier-based solution to the problem of figure-ground segmentation in short baseline binocular image pairs is presented. Each image is modeled as an additive composite of two component images that exhibit a spatial shift due to the binocular parallax. The segmentation is accomplished by decoupling each Fourier component in one of the resultant additive images into its two constituent phasors, allocating each to its appropriate object-specific spectrum, and then reconstructing the foreground and background using the inverse Fourier transform. It is shown that the foreground and background shifts can be computed from the differences of the magnitudes and phases of the Fourier transform of the binocular image pair. While the model is based on translucent objects, it also works with occluding objects
keyphrases: binocular model figure-ground segmentation occluding images images Fourier-based solution short baseline binocular image pairs binocular image pair component images spatial shift binocular parallax phasors object-specific spectrum foreground background inverse Fourier transform translucent objects occluding objects translucent images image segmentation Fourier component decoupling