2008
DOI: 10.1007/978-3-540-89222-9_18
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Hybrid Visual Tracking for Augmented Books

Abstract: Abstract. The augmented book is the system augmenting multimedia elements onto a book to bring additional education effects or amusement. A book includes many pages and many duplicated designs so that tracking a book is quite difficult. For the augmented book, we propose the hybrid visual tracking which merges the merits of two traditional approaches: fiducial marker tracking and markerless tracking. The new method does not cause visual discomfort and can stabilizes camera pose estimation in real-time.

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Cited by 9 publications
(4 citation statements)
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“…Recently, there is another classification more used to distinguish between vision-based tracking techniques: fiducial marker tracking and markerless tracking [8]. In the first one, the fiducial marker is surrounded by a black rectangle or circle shape boundary for easy detection.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there is another classification more used to distinguish between vision-based tracking techniques: fiducial marker tracking and markerless tracking [8]. In the first one, the fiducial marker is surrounded by a black rectangle or circle shape boundary for easy detection.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the fast method, like [4] requires a lot of time and computer memory in training phase so that it takes long time for authoring the contents. A hybrid method which uses markers for page recognition and randomized trees for camera tracking [4] was proposed in order to support multiple pages [5].…”
Section: Introductionmentioning
confidence: 99%
“…This largely influences the visual effect or aesthetic. A hybrid visual tracking approach is proposed in Yang et al (2008), which merges the merits of fiducial marker-based tracking and markerless tracking. They use a tiny marker for page FIGURE 5.13: The world coordinate system in augmented books.…”
Section: Augmented Booksmentioning
confidence: 99%
“…Although in this prototype page determination is not implemented, it can be achieved by some already existed approaches, such as QR codes (Kan, Teng, and Chou, 2009), number recognition using optical character recognition (Qadri and Asif, 2009), or the tiny marker proposed in Yang et al (2008). Page determination is left as future work.…”
Section: Some Notesmentioning
confidence: 99%