Development of a real time image based object recognition method for mobile AR-devices

Authors:
Juergen Gausemeier;Juergen Fruend;Carsten Matysczok;Beat Bruederlin;David Beier
Affiliations:
Heinz Nixdorf Institute, 33102 Paderborn, Germany;Heinz Nixdorf Institute, 33102 Paderborn, Germany;Heinz Nixdorf Institute, 33102 Paderborn, Germany;Technical University of Ilmenau, 98693 Ilmenau, Germany;Technical University of Ilmenau, 98693 Ilmenau, Germany
Venue:
Proceedings of the 2nd international conference on Computer graphics, virtual Reality, visualisation and interaction in Africa
Year:
2003

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Abstract

In this paper we describe an image based object recognition and tracking method for mobile AR-devices and the correlative process to generate the required data. The object recognition and tracking base on the 3D-geometries of the related objects. Correspondings between live camera images and 3D-models are generated and used to determine the location and orientation of objects in the current scene. The required data for the object recognition is generated from common 3D-CAD-files using a dedicated process model.The object recognition and tracking method as well as the correlative generation process for the needed data are developed within the AR-PDA project. The AR-PDA is a personal digital assistant (e.g. PDA or 3rd generation mobile phone with an integrated camera), which uses AR technology to efficiently support consumers and service forces during their daily tasks.