Toward Augmented Reality in Museums: Evaluation of Design Choices for 3D Object Pose Estimation

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.

A Design Method of Virtual Folk Museum Roaming System Based on Visual Interaction Technology

“…It is one of the country's public cultural institutions, according to the o cial website. When it comes to public cultural institutions, the museum's cultural relics are the most representative items because they are the ones that can best re ect the development of civilization over time [1,2]. e cultural relics housed in our country's museums represent a rich and diverse cultural heritage, and they play an extremely important role in the transmission and development of Chinese traditional culture.…”