Invited Panel Speakers
Dr. Anand Bhojan
Department of Computer Science, School of Computing
National University of Singapore
Website
Dr. Huaqun Guo obtained B.Eng and M.Eng from Tianjin University, and obtained M.Eng and PhD from the National University of Singapore (NUS). She was a senior engineer, Kent Ridge Digital Labs (KRDL, predecessor of Institute for Infocomm Research), Singapore from 2000 to May 2001. She was a senior research staff, NUS from June 2001 to March 2003. She is a member of SingAREN (Singapore Advance Research and Education Network) from 2000. She was an Ordinary Member of Singapore Computer Society from 2000 to 2005. She is IEEE Member from 2007, and IEEE Senior Member from 2009. She was a committee member of IEEE SG Women In Engineering (WIE) AG 2008 and 2009, Secretary of IEEE SG WIE AG 2010, and Chairman of IEEE SG WIE AG 2011 and 2012. Currently She is Scientist II at the Institute for Infocomm Research (I2R), Agency for Science Technology and Research (A*STAR), President of International Researchers Club, and Chairman of IEEE Broadcast Technology Society Singapore Chapter. She has published more than 40 papers in the international journals, conferences and books. She is an editor of a book, Automotive Informatics and Communicative Systems: Principles in Vehicular Networks and Data Exchange. She is the Editorial Board Member, Technical Program co-chair, TPC member and session chair for near 20 international journals and conferences. Her research areas include vehicular network, security, multicast, embedded device, and multimedia communication systems.
Li Yiqun is heading the Mobile Visual Interaction Lab of the Visual Computing Department in the Institute for Infocomm Research. Armed with over 20 years of experience in the research and development of various technologies in the area of computer vision, Yiqun has been leading a team working on the Snap2Tell image recognition and augmented reality technologies. The technologies were transferred to a number of companies to create new business in the emerging markets. The Snap2Tell technology is making impact internationally due to its successful deployment in 8 countries for the business of interactive mobile advertisement. Yiqun's research areas include image recognition, mobile augment reality, video analysis, feature representation, mobile applications etc. She holds 5 patents and has published more than 20 papers in the international journals and conferences. Her passion is to transfer the research outcomes to practical applications.
Talk Title: Overview of Vision Based Mobile Augmented Reality
As many people possess a mobile phone and its computing power is improving, mobile applications are becoming more and more popular. A lot of people use mobile phone to do things instead of using PC. Many applications which can only run on PC before can run on mobile phone nowadays. Those applications bring great convenience to the users. The vision based mobile augmented reality is a kind of such applications. Instead of using the small keypad on the mobile phone to type in text or url to obtain information, image recognition technology allows users to point their phone camera to a natural object or scene to obtain information. Augmented reality technology further improves the user experience. Mobile Augmented Reality (MAR) applications are becoming more and more popular recently. However, the level of complexity of these applications is very different. There are still a lot of challenges such as recognition, camera motion tracking and pose estimation for texture-less objects. In this discuss, we will talk about different types of computer vision based MAR applications based on the level of complexity. Demonstration of our Snap2Tell image recognition and MAR applications will be shown as well.
Nicole Mirnig is a Research Associate and PhD candidate in HCI/HRI at the HCI & Usability Unit of the ICT&S Center, University of Salzburg, Austria. She holds a master's degree in Communication Studies from the University of Salzburg (2011). During her studies, she specialized on the communication between humans and robots in social dialog situations. She was involved in the EU-project IURO (www.iuro-project.eu) that aims at developing interaction paradigms for an interactive urban robot. Her ongoing research focuses on feedback in human-robot interaction. The aim of her PhD research is twofold: First, she intends to deepen the understanding of the quality and importance of robot feedback by means of target-oriented studies. Second, she seeks to provide a theoretical framework by developing a taxonomy for multimodal robot feedback which is based on existing research and the findings from her own studies. She is currently on a research visit at the A*STAR Institute for Infocomm Research in Singapore, where she is involved in research in the social robotics lab to perform studies on HRI in an intercultural environment while focusing on feedback modalities.