Abstract
Purpose– The authors aim to present a vision based wide area registration method for camera phones based mobile augmented reality applications. Design/methodology/approach– The tracking system uses a drift-free 6 DOF tracker based on prebuilt multiple maps, and can be initialized using the authors' compacted key-frames recognition engine. Findings– Given the current location and camera pose, the authors show how the corresponding virtual objects can be accurately superimposed even in the case of varying user positions. Originality/value– The authors' system can be used in wide area scenarios and provides an accurate registration between real and virtual objects.
Purpose– The authors aim to present a vision based wide area registration method for camera phones based mobile augmented reality applications. Design/methodology/approach– The tracking system uses a drift-free 6 DOF tracker based on prebuilt multiple maps, and can be initialized using the authors' compacted key-frames recognition engine. Findings– Given the current location and camera pose, the authors show how the corresponding virtual objects can be accurately superimposed even in the case of varying user positions. Originality/value– The authors' system can be used in wide area scenarios and provides an accurate registration between real and virtual objects.