Abstract
Following recent technological advances in diverse mobile devices, including smartphones, tablets and smartwatches, in-depth studies aimed at improving the quality of augmented reality (AR) are currently ongoing. Smartphones feature the essential elements of AR implementation, such as a camera, a processor and a display in a single device. As a result, additional hardware expansion for AR implementation has become unnecessary, popularizing AR technology at the user level. In the early stages, low-level AR technology was used mainly in limited fields, including simple road guides and marker-based recognition. Due to advances in AR technology, the range of usage has expanded as diverse technologies and purposes are combined. Users’ expectations of AR technology have also increased with this trend, and a high quality of service (QoS), with high-resolution, high-quality images, is now available. However, there are limitations in terms of processing speed and graphic treatment with smart devices, which, due to their small size, have inferior performance compared to the desktop environment when processing data for the implementation of high-resolution, high-quality images. This paper proposes an optional frame-selection algorithm (OFSA), which eliminates the unnecessary work involved with redundant frames during rendering for adaptive symmetric service of augmented reality big data on smart devices. Moreover, the memory read-write delay of the internally-operating OFSA, is minimized by adding an adaptive operation function. It is possible to provide adaptive common AR images at an improved frame rate in heterogeneous smart devices with different levels of performance.
Highlights
Augmented reality (AR) provides additional information by overlaying virtual objects, created by a computer, onto real objects
Studies have been done on AR that are aimed at achieving the optimal performance of diverse smart devices, including mobile phones, tablets iPods, iPads and iPhones [6,7,8,9,10,11,12]
AR images with high resolution and high quality cause delays and sporadic frame drops in smart devices that have generally used specifications, as they induce heavy loads at the processor level
Summary
Augmented reality (AR) provides additional information by overlaying virtual objects, created by a computer, onto real objects. There have been many studies aimed at achieving a higher frame rate by creating an efficient mechanism, problems arise due to the need for additional sensors and an Internet connection. A better frame ratesensors in low-specification devices connection This paperservice proposes an optional frame-selection to OFSA achieveinvolves a better the for adaptive symmetric of augmented reality big dataalgorithm on smart(OFSA). Frame rate in low-specification devices fordue adaptive symmetric service of augmented big data differences between changing AR objects to minute camera movements due reality to limited display on smart devices. 1 shows frame processed by OFSA forofadaptive symmetric of on smart devices that are operational. The frames were processed without omissions on laptop augmented reality big data on smart devices that are operational. The paper concludes with an overall summary and future research topics
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