Knopp, SebastianSebastianKnoppKlimant, PhillippPhillippKlimantSchaffrath, RobertRobertSchaffrathVoigt, EricEricVoigtFritzsche, RaykRaykFritzscheAllmacher, ChristopherChristopherAllmacher2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/40685610.1109/ISMAR-Adjunct.2019.00030Many real world applications for Microsoft HoloLens*-based applications suffer the problem of reliably recognizing and identifying movable objects within an environment. While the HoloLens is perfectly able to discern already known rooms, it still has troubles with reflecting surfaces or identically shaped objects. Using dedicated recognition libraries for each task poses the issue of shared resource access in the rather controlled HoloLens environment-In this poster we present a solution for scenario with hard to track objects and similarly shaped objects for an electrical cabinet assembly task, where the reflective cabinet is tagged with a marker and the prefabricated cables are differentiated by text-based labels.enaugmented realitycomputer-generated holographyimage recognitionobject trackingtext analysis620670conference paper