KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Visual Computing Center (VCC)
Online Publication Date2017-03-31
Print Publication Date2018-05-01
Permanent link to this recordhttp://hdl.handle.net/10754/627475
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AbstractWe present a novel framework for visualizing routes on mobile devices. Our framework is suitable for helping users explore their environment. First, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.
CitationBirsak M, Musialski P, Wonka P, Wimmer M (2018) Dynamic Path Exploration on Mobile Devices. IEEE Transactions on Visualization and Computer Graphics 24: 1784–1798. Available: http://dx.doi.org/10.1109/TVCG.2017.2690294.
SponsorsWe thank the reviewers for their helpful suggestions, Michael Hecher for valuable comments on the user study, Christian Hafner for discussions and proofreading, and all participants of the user studies for their time and patience. This work was funded by the FWF, project numbers P23237-N23 and P27972-N31.
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