Real‐time recognition and tracking for augmented reality books

Abstract

ABSTRACT An augmented reality book (AR book) is an application in which such multimedia elements as virtual 3D objects, movie clips, or sound clips are augmented to a conventional book using augmented reality technology. It can provide better understanding about the contents and visual impressions for users. For AR books, this paper presents a markerless tracking method, which recognizes and tracks a large number of pages in real‐time, even on PCs with low computation power. For fast recognition with respect to a large number of pages, we propose a generic randomized forest that is an extension of a randomized forest. In addition, we define the spatial locality of the subregions in an image to resolve the problem of a dropping recognition rate under a complex background. For tracking with minimal jittering, we also propose the adaptive keyframe‐based tracking method, which automatically updates the current frame as a keyframe when it describes the page better than the existing one. Copyright © 2011 John Wiley & Sons, Ltd.