Natural feature tracking for augmented reality

by: U Neumann, S You

Multimedia, IEEE Transactions on, Vol. 1, No. 1. (1999), pp. 53-64.

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Abstract

Natural scene features stabilize and extend the tracking range of augmented reality (AR) pose-tracking systems. We develop robust computer vision methods to detect and track natural features in video images. Point and region features are automatically and adaptively selected for properties that lead to robust tracking. A multistage tracking algorithm produces accurate motion estimates, and the entire system operates in a closed-loop that stabilizes its performance and accuracy. We present demonstrations of the benefits of using tracked natural features for AR applications that illustrate direct scene annotation, pose stabilization, and extendible tracking range. Our system represents a step toward integrating vision with graphics to produce robust wide-area augmented realities

@article{citeulike:1367479, abstract = {Natural scene features stabilize and extend the tracking range of augmented reality (AR) pose-tracking systems. We develop robust computer vision methods to detect and track natural features in video images. Point and region features are automatically and adaptively selected for properties that lead to robust tracking. A multistage tracking algorithm produces accurate motion estimates, and the entire system operates in a closed-loop that stabilizes its performance and accuracy. We present demonstrations of the benefits of using tracked natural features for AR applications that illustrate direct scene annotation, pose stabilization, and extendible tracking range. Our system represents a step toward integrating vision with graphics to produce robust wide-area augmented realities}, author = {Neumann, U. and You, S. }, citeulike-article-id = {1367479}, journal = {Multimedia, IEEE Transactions on}, keywords = {ieee, multimedia, on, transactions}, number = {1}, pages = {53--64}, posted-at = {2007-06-06 09:22:22}, priority = {3}, title = {Natural feature tracking for augmented reality}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=748171}, volume = {1}, year = {1999} }

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TY - JOUR ID - citeulike:1367479 L3 - citeulike-article-id:1367479 TI - Natural feature tracking for augmented reality JF - Multimedia, IEEE Transactions on VL - 1 IS - 1 SP - 53 EP - 64 N2 - Natural scene features stabilize and extend the tracking range of augmented reality (AR) pose-tracking systems. We develop robust computer vision methods to detect and track natural features in video images. Point and region features are automatically and adaptively selected for properties that lead to robust tracking. A multistage tracking algorithm produces accurate motion estimates, and the entire system operates in a closed-loop that stabilizes its performance and accuracy. We present demonstrations of the benefits of using tracked natural features for AR applications that illustrate direct scene annotation, pose stabilization, and extendible tracking range. Our system represents a step toward integrating vision with graphics to produce robust wide-area augmented realities KW - ieee KW - multimedia KW - on KW - transactions AU - Neumann, U AU - You, S PY - 1999/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=748171 ER -

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