Registration Combining Wide and Narrow Baseline Feature Tracking Techniques for Markerless AR SystemsReport as inadecuate




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Digital Engineering and Simulation Centre, Huazhong University of Science and Technology, No.1037 Luoyu Road, 430074 Wuhan, China





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Abstract Augmented reality AR is a field of computer research which deals with the combination of real world and computer generated data. Registration is one of the most difficult problems currently limiting the usability of AR systems. In this paper, we propose a novel natural feature tracking based registration method for AR applications. The proposed method has following advantages: 1 it is simple and efficient, as no man-made markers are needed for both indoor and outdoor AR applications; moreover, it can work with arbitrary geometric shapes including planar, near planar and non planar structures which really enhance the usability of AR systems. 2 Thanks to the reduced SIFT based augmented optical flow tracker, the virtual scene can still be augmented on the specified areas even under the circumstances of occlusion and large changes in viewpoint during the entire process. 3 It is easy to use, because the adaptive classification tree based matching strategy can give us fast and accurate initialization, even when the initial camera is different from the reference image to a large degree. Experimental evaluations validate the performance of the proposed method for online pose tracking and augmentation. View Full-Text

Keywords: augmented reality; registration; natural features; wide baseline; narrow baseline; scale invariant feature transform augmented reality; registration; natural features; wide baseline; narrow baseline; scale invariant feature transform





Author: Liya Duan, Tao Guan * and Bo Yang

Source: http://mdpi.com/



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