InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a new large-scale visual localization method targeted for indoor environments. The method proceeds along three steps: (i) efficient retrieval of candidate poses that ensures scalability to large-scale environments, (ii) pose estimation using dense matching rather than local features to deal with textureless indoor scenes, and (iii) pose verification by virtual view synthesis to cope with significant changes in viewpoint, scene layout, and occluders. Second, we collect a new dataset with reference 6DoF poses for large-scale indoor localization. Query photographs are captured by mobile phones at a different time than the reference 3D map, thus presenting a realistic indoor localization scenario. Third, we demonstrate that our method significantly outperforms current state-of-the-art indoor localization approaches on this new challenging data

Control and Characterization of Individual Grains and Grain Boundaries in Graphene Grown by Chemical Vapor Deposition

The strong interest in graphene has motivated the scalable production of high quality graphene and graphene devices. Since large-scale graphene films synthesized to date are typically polycrystalline, it is important to characterize and control grain boundaries, generally believed to degrade graphene quality. Here we study single-crystal graphene grains synthesized by ambient CVD on polycrystalline Cu, and show how individual boundaries between coalescing grains affect graphene's electronic properties. The graphene grains show no definite epitaxial relationship with the Cu substrate, and can cross Cu grain boundaries. The edges of these grains are found to be predominantly parallel to zigzag directions. We show that grain boundaries give a significant Raman "D" peak, impede electrical transport, and induce prominent weak localization indicative of intervalley scattering in graphene. Finally, we demonstrate an approach using pre-patterned growth seeds to control graphene nucleation, opening a route towards scalable fabrication of single-crystal graphene devices without grain boundaries.Comment: New version with additional data. Accepted by Nature Material

SVGOpen Conference Guide: An overview

Context-aware applications are emerging on a daily basis and location information proves to be one of the key components in this domain. This stems from the fact that location information enables and facilitates reasoning about what users are doing (user's behavioural patterns) and what users are interested in. Availability of campus-wide WLAN infrastructure at University of Twente (UT) and the fact that SVGOpen 2005 was scheduled to be held at UT, were two strong driving forces towards building a location-aware conference guide. In this paper, a privacy-sensitive, location-aware service architecture is presented, which utilizes a calibration-free localization technique. The presented architecture uses existing WLAN infrastructure for cost efficiency, and uniquely incorporates the location information into Jini service discovery platform. Vector graphics provide better support for highly dynamic interface. Among all available vector formats, SVG proves to be a better choice to design the dynamic user interface and hence it was used in our implementation