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Author Födisch, Mike ♦ Hermes, Thorsten
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract We show how context and ordering information can improve the efficiency and accuracy of 3D object recognition. First we describe a way how to obtain contextual information in terms of features enriched by attributes. On this basis we introduce new constraints for the application of interpretation tree search. Finally, we present exemplary recognition results which show the impact of the new constraints.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study