Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications
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 enviro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/4/1547 |
| _version_ | 1818037538403647488 |
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| author | Juhwan Lee Sangwon Hwang Jisun Lee Seungwoo Kang |
| author_facet | Juhwan Lee Sangwon Hwang Jisun Lee Seungwoo Kang |
| author_sort | Juhwan Lee |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T07:28:26Z |
| format | Article |
| id | doaj.art-4af5b95a219e4c2a9fc5ef6ba68659ea |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-10T07:28:26Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4af5b95a219e4c2a9fc5ef6ba68659ea2022-12-22T01:57:38ZengMDPI AGApplied Sciences2076-34172020-02-01104154710.3390/app10041547app10041547Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping ApplicationsJuhwan Lee0Sangwon Hwang1Jisun Lee2Seungwoo Kang3Department of Computer Science and Engineering, Graduate School, KOREATECH, Cheonan 31253, KoreaDepartment of Computer Science and Engineering, Graduate School, KOREATECH, Cheonan 31253, KoreaCollege of Science and Technology, Kookmin University, Seoul 02707, KoreaSchool of Computer Science and Engineering, KOREATECH, Cheonan 31253, KoreaA 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.https://www.mdpi.com/2076-3417/10/4/1547augmented realityar frameworkrecognition performancemeasurementmobile ar applicationgrocery shoppinghome meal replacement |
| spellingShingle | Juhwan Lee Sangwon Hwang Jisun Lee Seungwoo Kang Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications Applied Sciences augmented reality ar framework recognition performance measurement mobile ar application grocery shopping home meal replacement |
| title | Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications |
| title_full | Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications |
| title_fullStr | Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications |
| title_full_unstemmed | Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications |
| title_short | Comparative Performance Characterization of Mobile AR Frameworks in the Context of AR-Based Grocery Shopping Applications |
| title_sort | comparative performance characterization of mobile ar frameworks in the context of ar based grocery shopping applications |
| topic | augmented reality ar framework recognition performance measurement mobile ar application grocery shopping home meal replacement |
| url | https://www.mdpi.com/2076-3417/10/4/1547 |
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