Sciweavers

MVA
1990

Recognition of Parametrised Models from 3D Data

13 years 10 months ago
Recognition of Parametrised Models from 3D Data
This paper describes work done as part of the Oxford AGV (Autonomous Guided Vehicle) project [2] towards recognition of classes of objects to be encountered in a factory environment. \Ye address the problem of recognising an object from range-data observations as an instance of a parametric model class, and determining the values of the class parameters for that instance of the model, and the pose of the object. We represent an object class as a map from an underlying shape, a set of parameters, and some constraints on these parameters, to an instance of the class. A search of the interpretation tree is combined with a constraint network to determine the legal interpretations and parameter values using observations on a instance of the class. \Ire demonstrate the feasibility of this approach using polyhedral models and simple range-image features (position, surface normal observations).
Ian D. Reid
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 1990
Where MVA
Authors Ian D. Reid
Comments (0)