Web Based Interactive Viewer for 360VR Images/Videos Supporting VR/AR Devices with Human Face Detection

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Abstract

This paper treats one of the activities of ICER (Innovation Center for Educational Resources) in Kyushu University Library of Kyushu University, Japan. It is the development of educational materials using recent ICT for enhancing the educational efficiency in the university. Especially, this activity focuses on the development of attractive and interactive educational materials using 3D CG. So, the authors have already proposed a framework dedicated for the development of web based interactive 3D educational materials. Recently, 360VR images/videos have become popular. Therefore, the authors also introduced functionalities into the framework that support 360VR images/videos as a web based interactive viewer. For the mobile learning, there are several VR/AR devices and the authors’ viewer should support them. Then, the authors extended their viewer in order to support such VR/AR devices. Practically, the use of 360VR images/videos as educational materials considers the privacy of persons unintentionally included in the images/videos. Therefore, the authors also added functionality for detecting human faces and pixelating them. This paper explains details of the viewer including functionalities for supporting VR/AR devices and for human face detection.

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APA

Haga, A., Shi, W., Hayashida, G., & Okada, Y. (2019). Web Based Interactive Viewer for 360VR Images/Videos Supporting VR/AR Devices with Human Face Detection. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 25, pp. 260–270). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-02613-4_23

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