ABSTRACT
In this paper, we propose three display methods for projection-based augmented reality. In spatial augmented reality (SAR), determining where information, objects, or contents are to be displayed is a difficult and important issue. We use deep learning models to estimate user pose and suggest ways to solve the issue based on this data. Finally, each method can be appropriately applied according to various the applications and scenarios.
Supplemental Material
- 2019. Runway. https://runwayapp.ai/Google Scholar
- Oliver Bimber and Ramesh Raskar. 2005. Spatial augmented reality: merging real and virtual worlds. AK Peters/CRC Press. Google ScholarDigital Library
- Henry Chen, Austin S Lee, Mark Swift, and John C Tang. 2015. 3D collaboration method over HoloLensâĎć and SkypeâĎć end points. In Proceedings of the 3rd International Workshop on Immersive Media Experiences. ACM, 27--30. Google ScholarDigital Library
- Andreas Fender, David Lindlbauer, Philipp Herholz, Marc Alexa, and Jörg Müller. 2017. HeatSpace: Automatic Placement of Displays by Empirical Analysis of User Behavior. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. ACM, 611--621. Google ScholarDigital Library
- Shafaq Mussadiq, Rehan Hafiz, and Muhammad Abdullah Jamal. 2017. Confined projection on selected sub-surface using a robust binary-coded pattern for pico-projectors. Multimedia Systems 23, 2 (2017), 207--222. Google ScholarDigital Library
- George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, and Kevin Murphy. 2017. Towards accurate multi-person pose estimation in the wild. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 4903--4911.Google ScholarCross Ref
- Hyocheol Ro, Jung-Hyun Byun, Inhwan Kim, Yoon Jung Park, Kyuri Kim, and Tack-Don Han. 2019. Projection-Based Augmented Reality Robot Prototype with Human-Awareness. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 598--599.Google Scholar
- Hyocheol Ro, Inhwan Kim, JungHyun Byun, Yoonsik Yang, Yoon Jung Park, Seungho Chae, and Tackdon Han. 2018. PAMI: Projection Augmented Meeting Interface for Video Conferencing. In 2018 ACM Multimedia Conference on Multimedia Conference. ACM, 1274--1277. Google ScholarDigital Library
Index Terms
- Display methods of projection augmented reality based on deep learning pose estimation
Recommendations
Multimodal augmented reality: the norm rather than the exception
MVAR '16: Proceedings of the 2016 workshop on Multimodal Virtual and Augmented RealityAugmented reality (AR) is commonly seen as a technology that overlays virtual imagery onto a participant's view of the world. In line with this, most AR research is focused on what we see. In this paper, we challenge this focus on vision and make a case ...
Understanding Users' Capability to Transfer Information between Mixed and Virtual Reality: Position Estimation across Modalities and Perspectives
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing SystemsMixed Reality systems combine physical and digital worlds, with great potential for the future of HCI. It is possible to design systems that support flexible degrees of virtuality by combining complementary technologies. In order for such systems to ...
One Reality: Augmenting How the Physical World is Experienced by combining Multiple Mixed Reality Modalities
UIST '17: Proceedings of the 30th Annual ACM Symposium on User Interface Software and TechnologyMost of our daily activities take place in the physical world, which inherently imposes physical constraints. In contrast, the digital world is very flexible, but usually isolated from its physical counterpart. To combine these two realms, many Mixed ...
Comments