Reflection-Aware Generation and Identification of Square Marker Dictionaries

Square markers are a widespread tool to find correspondences for camera localization because of their robustness, accuracy, and detection speed. Their identification is usually based on a binary encoding that accounts for the different rotations of the marker; however, most systems do not consider the possibility of observing reflected markers. This case is possible in environments containing mirrors or reflective surfaces, and its lack of consideration is a source of detection errors, which is contrary to the robustness expected from square markers. This is the first work in the literature that focuses on reflection-aware square marker dictionaries. We present the derivation of the inter-marker distance of a reflection-aware dictionary and propose new algorithms for generating and identifying such dictionaries. Additionally, part of the proposed method can be used to optimize preexisting dictionaries to take reflection into account. The experimentation carried out demonstrates how our proposal greatly outperforms the most popular predefined dictionaries in terms of inter-marker distance and how the optimization process significantly improves them.

Oasis: Procedurally Generated Social Virtual Spaces from 3D Scanned Real Spaces

We present Oasis, a novel system for automatically generating immersive and interactive virtual reality environments for single and multiuser experiences. Oasis enables real-walking in the generated virtual environment by capturing indoor scenes in 3D and mapping walkable areas. It makes use of available depth information for recognizing objects in the real environment which are paired with virtual counterparts to leverage the physicality of the real world, for a more immersive virtual experience. Oasis allows co-located and remotely located users to interact seamlessly and walk naturally in a shared virtual environment. Experiencing virtual reality with currently available devices can be cumbersome due to presence of objects and furniture which need to be removed every time the user wishes to use VR. Our approach is new, in that it allows casual users to easily create virtual reality environments in any indoor space without rearranging furniture or requiring specialized equipment, skill or training. We demonstrate our approach to overlay a virtual environment over an existing physical space through fully working single and multiuser systems implemented on a Tango tablet device.