Abstract: Abstract: For the mobile augmented reality (MAR) technology combined with information visualization, there remains excessive computing pressure on devices in target tracking. If the MAR application adopts the feature tracking solution for 2D images to track 3D objects, the multi-angle feature points in 3D objects obtained from extensive calculations will undoubtedly increase computing pressure in tracking process. As a consequence, excessive computing pressure will be incurred on devices, leading to unstable phenomena in the scene, such as jitter, latency, and movement of 3D AR model lagging behind the target during the target tracking. To resolve these problems, a WebAR (web-based AR) solution was proposed based on the advanced L-K method (Lucas Kanade method, an optical flow algorithm), which transformed the feature point tracking problem into an optical flow estimation problem and an optimized 3D interaction strategy for information visualization. The experimental results could verify that the proposed method can effectively enhance the computing efficiency and stability of target tracking in MAR and enrich the presentation and interaction in information visualization with WebAR.

Key words: Keywords: mobile augmented reality, WebAR, information visualization, Lucas-Kanade method; optical flow