Real-Time Detection and Tracking for Augmented Reality on Mobile Phones
By Daniel Wagner, Gerhard Reitmayr, Alessandro Mulloni, Tom Drummond, Dieter Schmalstieg. IEEE Transactions on Visualization and Computer Graphics, 2010
395 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ac1922ecfc158bb38963f01dd60d19c0aeaa05ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Marc Pollefeys
- Torsten Sattler
- Josef Sivic
- Tomás Pajdla
- Akihiko Torii
- Masatoshi Okutomi
- Mircea Cimpoi
- Hajime Taira
In Computer Vision and Pattern Recognition
- Marc Pollefeys
- Luc Van Gool
- Torsten Sattler
- Josef Sivic
- Andrew Zisserman
- Jitendra Malik
- Andrea Vedaldi
- Dacheng Tao
Citations in the corpus
- Mobile Augmented Reality Survey: From Where We Are to Where We Go (2017, background): “[221] propose three approaches for 6DOF natural language feature tracking for MAR in realtime systems.”
- Research trends and opportunities of augmented reality applications in architecture, engineering, and construction (2013, background): “to cell phones [30,82,83], HMD devices [84], and even specific field equipment such as iHelmet [70].”
- InLoc: Indoor Visual Localization with Dense Matching and View Synthesis (2019, background): “Besides intelligent systems, the visual localization problem is also highly relevant for any type of Mixed Reality applications, includingAugmented Reality [19], [52], [88].”
- Applying Deep Learning in Augmented Reality Tracking (2016, methodology): “Many algorithms have been proposed [6, 2, 7] that detect the target in the given image and track it in the consecutive images.”