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Vision-based prop-free pointing detection is challenging both from an algorithmic and a systems standpoint. From a computer vision perspective, accurately determining where multiple users are pointing is difficult in cluttered environments with dynamic scene content. Standard approaches relying on appearance models or background subtraction to segment users operate poorly in this domain. We propose...
This paper presents the design of a semiautomated football table. One side of the table is equipped with automated rods, whereas the other side has regular rods. With this setup one or two human players can play against a computer controlled adversary. The paper describes the design and integration of a suitable hardware setup with vision based control algorithms that control the automated rods to...
We propose a method for segmenting an arbitrary number of moving objects using the geometry of 6 points in 2D images to infer motion consistency. This geometry allows us to determine whether or not observations of 6 points over several frames are consistent with a rigid 3D motion. The matching between observations of the 6 points and an estimated model of their configuration in 3D space is quantified...
Perceiving dynamic scenes of rigid bodies, through affine projections of moving 3D point clouds, boils down to clustering the rigid motion subspaces supported by the points' image trajectories. For a physically meaningful interpretation, clusters must be consistent with the geometry of the underlying subspaces. Most of the existing measures for subspace clustering are ambiguous, or geometrically inconsistent...
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