Suzanne Heron

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Welchman et al. (1) propose a Bayesian model that combines a velocity prior for slow motion (2, 3) with approximations of lateral velocity V x and velocity in depth V z to model biased perception of 3D motion trajectories in the x–z plane (3, 4). Although decomposing a motion vector into orthogonal components may be mathematically convenient it raises the(More)
It is shown that existing processing schemes of 3D motion perception such as interocular velocity difference, changing disparity over time, as well as joint encoding of motion and disparity, do not offer a general solution to the inverse optics problem of local binocular 3D motion. Instead we suggest that local velocity constraints in combination with(More)
Data Two primary sources of population and demographic data were used to compile this report: U.S. Census Bureau and Woods and Poole Economics, Inc. Data synthesized from the U.S. Census Bureau 2000 decennial census that were common among all study areas include the following variables: population (as displayed on the maps) such as source of water, sewage(More)
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