AUTHOR=Panteleris Paschalis , Michel Damien , Argyros Antonis TITLE=Toward Augmented Reality in Museums: Evaluation of Design Choices for 3D Object Pose Estimation JOURNAL=Frontiers in Virtual Reality VOLUME=2 YEAR=2021 URL=https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2021.649784 DOI=10.3389/frvir.2021.649784 ISSN=2673-4192 ABSTRACT=

The solutions to many computer vision problems, including that of 6D object pose estimation, are dominated nowadays by the explosion of the learning-based paradigm. In this paper, we investigate 6D object pose estimation in a practical, real-word setting in which a mobile device (smartphone/tablet) needs to be localized in front of a museum exhibit, in support of an augmented-reality application scenario. In view of the constraints and the priorities set by this particular setting, we consider an appropriately tailored classical as well as a learning-based method. Moreover, we develop a hybrid method that consists of both classical and learning based components. All three methods are evaluated quantitatively on a standard, benchmark dataset, but also on a new dataset that is specific to the museum guidance scenario of interest.