Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications

Juhwan Lee,Sangwon Hwang,Seungwoo Kang,Jisun Lee

doi:10.3390/app10041547

Juhwan Lee, Sangwon Hwang + Show 2 more

Open Access

https://doi.org/10.3390/app10041547

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Abstract

A number of Augmented Reality (AR) frameworks are now available and used to support the development of mobile AR applications. In this paper, we measure and compare the recognition performance of the commercial AR frameworks and identify potential issues that can occur in the real application environment. For experiments, we assume a situation in which a consumer purchases food products in a grocery store and consider an application scenario in which AR content related to the products is displayed on a smartphone screen by recognizing such products. We use four performance metrics to compare the performance of the selected AR frameworks, Vuforia, ARCore, and MAXST. Experimental results show that Vuforia is relatively superior to the others. The limitation of the AR frameworks is also identified when they are used in a real grocery store environment.

Highlights

Augmented Reality (AR) technology provides a new way of information visualization and interaction with physical/virtual objects [1,2,3]
We use the following four performance metrics to compare the performance of the selected AR frameworks: the maximum recognizable distance, the minimum recognizable viewing angle, the maximum recognizable occlusion, and the maximum number of targets for simultaneous recognition and tracking
For the robustness to occlusion, Vuforia is better than others, while MAXST and ARCore are similar

Summary

Introduction

Augmented Reality (AR) technology provides a new way of information visualization and interaction with physical/virtual objects [1,2,3]. It has been used in various application domains such as retailing [4,5,6], manufacturing [7,8], tourism [9,10], education [11], and entertainment [12,13]. The importance of interaction marketing based on AR technology will increase [14]. Keywords, such as healthy foods and home meal replacement (HMR), have been leading the food market [15]

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