An Efficient Object Augmentation Scheme for Supporting Pervasiveness in a Mobile Augmented Reality
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초록
Pervasive augmented reality (AR) technology can be used to efficiently search for the required informationregarding products in stores through text augmentation in an Internet of Things (IoT) environment. Theevolution of context awareness and image processing technologies are the main driving forces that realize thistype of AR service. One of the problems to be addressed in the service is that augmented objects are fixed andcannot be replaced efficiently in real time. To address this problem, a real-time mobile AR framework is proposed. In this framework, an optimal object to be augmented is selected based on object similarity comparison,and the augmented objects are efficiently managed using distributed metadata servers to adapt to the userrequirements, in a given situation. To evaluate the feasibility of the proposed framework, a prototype systemwas implemented, and a qualitative evaluation based on questionnaires was conducted. The experimental resultsshow that the proposed framework provides a better user experience than existing features in smartphones, andthrough fast AR service, the users are able to conveniently obtain additional information on products or objects.
Abstract
Pervasive augmented reality (AR) technology can be used to efficiently search for the required informationregarding products in stores through text augmentation in an Internet of Things (IoT) environment. Theevolution of context awareness and image processing technologies are the main driving forces that realize thistype of AR service. One of the problems to be addressed in the service is that augmented objects are fixed andcannot be replaced efficiently in real time. To address this problem, a real-time mobile AR framework is proposed. In this framework, an optimal object to be augmented is selected based on object similarity comparison,and the augmented objects are efficiently managed using distributed metadata servers to adapt to the userrequirements, in a given situation. To evaluate the feasibility of the proposed framework, a prototype systemwas implemented, and a qualitative evaluation based on questionnaires was conducted. The experimental resultsshow that the proposed framework provides a better user experience than existing features in smartphones, andthrough fast AR service, the users are able to conveniently obtain additional information on products or objects.
참고문헌 (13)
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