Abstract | ||
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Most augmented reality toolkits require special markers to be used. In our system any designated object in the environment can be used instead of special markers. Furthermore, our system was designed to work with low contrast surfaces (such as the wrinkles on the hands of the users). We used a constellation of maximally discriminative salient points derived from the environment to position a 3D rendered entity. These salient features are combined with local texture to give greater detection stability which results in less jitter to the user. We present a real time system which has sufficiently low computational requirements that it works with typical hardware found on modern laptops, tablets, and smartphones. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1007/978-3-642-33885-4_71 | ECCV Workshops (3) |
Keywords | Field | DocType |
leiden augmented reality system,modern laptop,local texture,salient feature,special marker,low computational requirement,greater detection stability,augmented reality toolkits,maximally discriminative salient point,low contrast surface,real time system,hci,augmented reality,visual analysis,interfaces | Computer vision,Computer graphics (images),Computer science,Augmented reality,Real-time operating system,Constellation,Artificial intelligence,Jitter,Discriminative model,Salient | Conference |
Volume | ISSN | Citations |
7585 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qi Zhang | 1 | 0 | 0.68 |
Michael S. Lew | 2 | 2742 | 166.02 |