Motion and disparity processing informs Bayesian 3D motion estimation
نویسندگان
چکیده
منابع مشابه
Motion and disparity processing informs Bayesian 3D motion estimation.
Welchman et al. (1) propose a Bayesian model that combines a velocity prior for slow motion (2, 3) with approximations of lateral velocity Vx and velocity in depth Vz 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 question of why the visual system should ...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2008
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.0809829105