Rojtberg, PavelPavelRojtbergKuijper, ArjanArjanKuijper2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/40672010.1109/ISMAR-Adjunct.2019.00-25For objected detection, the availability of color cues strongly influences detection rates and is even a prerequisite for many methods. However, when training on synthetic CAD data, this information is not available. We therefore present a method for generating a texture-map from image sequences in real-time. The method relies on 6 degree-of-freedom poses and a 3D-model being available. In contrast to previous works this allows interleaving detection and texturing for upgrading the detector on-the-fly. Our evaluation shows that the acquired texture-map significantly improves detection rates using the LINEMOD [5] detector on RGB images only. Additionally, we use the texture-map to differentiate instances of the same object by surface color.enartificial intelligence (AI)modeling of physical attributesrecovery of physical attributespattern recognitionimplementationinteractive systemsLead Topic: Digitized WorkResearch Line: Computer graphics (CG)Research Line: Computer vision (CV)Research Line: Modeling (MOD)006conference paper