Object recognition and localization while tracking and mapping

This paper demonstrates how objects can be recognized, reconstructed, and localized within a 3D map, using observations and matching of SIFT features in keyframes. The keyframes arise as part of a frame-rate process of parallel camera tracking and mapping, in which the keyframe camera poses and 3D map points are refined using bundle adjustment. The object reconstruction process runs independently, and in parallel to, the tracking and mapping processes. Detected objects are automatically labelled on the user´s display using predefined annotations. The annotations are also used to highlight areas of interest upon the objects to the user.