Emerging hypothesis verification using function-based geometricmodels and active vision strategies
Lam, C.P.
West, G.A.W.
Venkatesh, S.
Dept. of Comput. Sci., Curtin Univ. of Technol., Perth, WA;
Abstract
This paper describes an investigation into the use of parametric
2D models describing the movement of edges for the determination of
possible 3D shape and hence function of an object. An assumption of this
research is that the camera can foveate and track particular features.
It is argued that simple 2D analytic descriptions of the movement of
edges can infer 3D shape while the camera is moved. This uses an
advantage of foveation i.e. The problem becomes object centred. The
problem of correspondence for numerous edge points is overcome by the
use of a tree based representation for the competing hypotheses.
Numerous hypothesis are maintained simultaneously and it does not rely
on a single kinematic model which assumes constant velocity or
acceleration. The numerous advantages of this strategy are described
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