相機影像與虛擬物件之差異化處理的擴增實境

Abstract

行動裝置在運行擴增實境 (augmented reality, AR) 應用時，工作負載包含大量圖形處理，因而消耗相當可觀的能量。 本篇論文展現一項方案，對於相機擷取的實際影像和機器生成的虛擬物件，根據不同的視覺品質，進行差異化處理。 我們在維持擴增實境應用所需視覺品質的前提下，動態調整幀率 (frame rate) 以減少消耗的能量，並提出一套線上執行的演算法以及能夠實時 (real-time) 進行處理的實作。 我們將我們的方案整合進 Android 系統，並在市場上流通的智慧型手機上，對於不同的應用場景執行大量實驗，以評估系統的效用。 實驗結果顯示，相較於 Android 原生的圖形系統，我們提出的方案在維持令人滿意的視覺品質下，能將能源消耗節省至多39.1%。

Mobile devices running augmented reality applications consume considerable energy for graphics-intensive workloads. This paper presents a scheme for the differentiated handling of camera-captured physical scenes and computer-generated virtual objects according to different perceptual quality metrics. We propose online algorithms and their real-time implementations to reduce energy consumption through dynamic frame rate adaptation while maintaining the visual quality required for augmented reality applications. To evaluate system efficacy, we integrate our scheme into Android and conduct extensive experiments on a commercial smartphone with various application scenarios. The results show that the proposed scheme can achieve energy savings of up to 39.1% in comparison to the native graphics system in Android while maintaining satisfactory visual quality.