Enhancing Augmented VR Interaction via Egocentric Scene Analysis
Publication in refereed journal

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其它資訊
摘要Augmented virtual reality (AVR) takes portions of the physical world into the VR world to enable VR users to access physical objects. State-of-the-art solutions mainly focus on extracting and showing physical objects in the VR world. In this work, we go beyond previous solutions and propose a novel approach to realize AVR. We first analyze the physical environment in the user's egocentric view through depth sensing and deep learning, then acquire the layout and geometry of the surrounding objects, and further explore their affordances. Based on the above information, we create visual guidance (hollowed guiding path) and hybrid user interfaces (augmented physical notepad, LR finger slider, and LRRL finger slider) to augment the AVR interaction. Empirical evaluations showed that the participants responded positively to our AVR techniques.
出版社接受日期01.09.2019
著者Yang Tian, Chi Wing Fu, Shengdong Zhao, Ruihui Li, Xiao Tang, Xiaowei Hu, Phengann Heng
期刊名稱Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
出版年份2019
月份9
卷號3
期次3
文章號碼105
國際標準期刊號2474-9567
語言美式英語

上次更新時間 2021-09-05 於 00:12