Exploring immersive augmented reality (AR) on the cross-platform web has attracted a growing interest. We implement WebPoseEstimator, a fundamental and flexible pose estimation framework, running on the common web platform, and providing the core capability to enable true Web AR. WebPoseEstimator provides a first real-time pose estimation framework that optimizes the loosely coupled multi-sensor fusion framework to flexibly adapt heterogeneous mobile devices. We also introduce how to optimize and compile such computationally intensive pose estimation from C++ source code into JavaScript profiles of less than 2 MB, thus supporting the fundamental and underlying capability for implementing true Web AR.
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WebPoseEstimator: A Fundamental and Flexible Pose Estimation Framework for Mobile Web AR
Semantic Scholar · Computer Science · 2021
Abstract
Exploring immersive augmented reality (AR) on the cross-platform web has attracted a growing interest. We implement WebPoseEstimator, a fundamental and flexible pose estimation framework, running on the common web platform, and providing the core capability to enable true Web AR. WebPoseEstimator provides a first real-time pose estimation framework that optimizes the loosely coupled multi-sensor fusion framework to flexibly adapt heterogeneous mobile devices. We also introduce how to optimize and compile such computationally intensive pose estimation from C++ source code into JavaScript profiles of less than 2 MB, thus supporting the fundamental and underlying capability for implementing true Web AR.