Abstract
This paper presents a novel augmented reality system which allows a user to visualize 3-D region of interest to share with other users in a real environment. To allocate the region, user specifies a point on the target object through a mobile display. The most remarkable difference from the existing works is that semantic information of the environment is not given. This kind of augmented reality application is still few though vision tracking techniques without prior knowledge about environment are coming into practical use. By realizing minimum set of our concept, we could found several concrete future works, most of which are computer vision problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kurata, T., Sakata, N., Kourogi, M., Kuzuoka, H., Billinghurst, M.: Remote collaboration using a shoulder-worn active camera/laser. In: Proc. ISWC 2004, pp. 62–69. IEEE Computer Society, Washington, DC (2004)
Yu, Y., Ferencz, A., Malik, J.: Extracting objects from range and radiance images. IEEE Transactions on Visualization and Computer Graphics 7, 351–364 (2001)
Azuma, R.T.: A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6, 355–385 (1997)
Klein, G., Murray, D.: Parallel tracking and mapping for small AR workspaces. In: Proc. 6th IEEE and ACM Int. Symp. on Mixed and Augmented Reality (ISMAR 2007), pp. 1–10 (2007)
Sim, R., Dudek, G.: Learning and evaluating visual feautres for pose estimation. In: Proc. 1999 IEEE Int. Conf. on Computer Vision, vol. 2, pp. 1217–1222 (1999)
Davison, A.J.: Real-time simultaneous localisation and mapping with a single camera. In: Proc. 9th IEEE Int. Conf. on Computer Vision, vol. 2, pp. 1403–1410 (2003)
Burschka, D., Hager, G.D.: V-GPS (SLAM): Vision-based inertial system for mobile robots. In: Proc. 2004 IEEE Int. Conf. on Robotics and Automation, pp. 409–415 (2004)
Gordon, I., Lowe, D.G.: Scene modelling, recognition and tracking with invariant image features. In: Proc. 3rd IEEE and ACM Int. Symp. on Mixed and Augmented Reality, pp. 110–119 (2004)
Zhou, F., Duh, H.B.L., Billinghurst, M.: Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR. In: ISMAR 2008: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, pp. 193–202. IEEE Computer Society, Washington, DC (2008)
Reitmayr, G., Eade, E., Drummond, T.W.: Semi-automatic annotations in unknown environments. In: Proc. ISMAR 2007, Nara, Japan, pp. 67–70 (2007)
Tenmoku, R., Kanbara, M., Yokoya, N.: Annotating user-viewed objects for wearable AR systems. In: Proc. IEEE and ACM Int. Sympo. on Mixed Augmented Reality(ISMAR 2005), pp. 192–193 (2005)
Kazhdan, M., Bolitho, M., Hoppe, H.: Poisson surface reconstruction. In: Proc. Symposium on Geometry Processing, pp. 61–70 (2006)
Shamir, A.: A survey on mesh segmentation techniques. In: Computer Graphics Forum, vol. 27, pp. 1539–1556 (2008)
Lavoue, G., Dupont, F., Baskurt, A.: New CAD mesh segmentation method a, based on curvature tensor analysis 37, 975–987 (2005)
Mortara, M., Patan‘e, G., Spagnuolo, M., Falcidieno, B., Rossignac, J.: Plumber: A method for a multi-scale decomposition of 3D shapes into tubular primitives and bodies. In: Proc. ACM Symposium on Solid Modeling and Applications, pp. 139–158 (2004)
Kalvin, A., Taylor, R.: Superfaces: Polygonal mesh simplification with bounded error. IEEE Computer Graphics and Applications 16 (1996)
Zhang, E., Mischaikow, K., Turk, G.: Feature based surface parameterization and texture mapping, vol. 24, pp. 1–27 (2005)
Mangan, A.P., Whitaker, R.T.: Partitioning 3D surface meshes using watershed segmentation. IEEE Transactions on Visualization and Computer Graphics 5, 308–321 (1999)
Zheng, B., Takamatsu, J., Ikeuchi, K.: 3D model segmentation and representation with implicit polynomials. IEICE Trans. Information and Systems E91-D, 1149–1158 (2008)
Furukawa, Y., Ponce, J.: Accurate, dense, and robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 1362–1376 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ikeda, S., Manabe, Y., Chihara, K. (2011). Augmented Reality System for Visualizing 3-D Region of Interest in Unknown Environment. In: Koch, R., Huang, F. (eds) Computer Vision – ACCV 2010 Workshops. ACCV 2010. Lecture Notes in Computer Science, vol 6469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22819-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-22819-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22818-6
Online ISBN: 978-3-642-22819-3
eBook Packages: Computer ScienceComputer Science (R0)