Wide-area scene mapping for mobile visual tracking

ISMAR 2012 - 11th IEEE International Symposium on Mixed and Augmented Reality 2012, Science and Technology Papers

Volumn , Issue , 2012, Pages 3-12

  Ventura, Jonathan ^a   Höllerer, Tobias ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

C.5.3 Computer System Implementation : Microcomputers Portable Devices (e.g., laptops, personal digital assistants); I.2.10 Artificial Intelligence : Vision and Scene Understanding 3D stereo scene analysis; I.4.8 Image Processing and Computer Vision : Scene Analysis Tracking; I.5.4 Pattern Recognition : Applications Computer Vision

Indexed keywords

CAMERA IMAGES; CAMERA TRACKING; CAMERA-BASED; FEATURE POINT MATCHING; HAND HELD DEVICE; HANDHELDS; I.4.8 [IMAGE PROCESSING AND COMPUTER VISION]: SCENE ANALYSIS - TRACKING; LIVE CAMERA; OFF-LINE MODELING; OMNIDIRECTIONAL CAMERAS; OUTDOOR SPACE; POINT CLOUD; PORTABLE DEVICE; POSE TRACKING; REAL TIME TRACKING; ROTATIONAL ERRORS; SIMULTANEOUS LOCALIZATION AND MAPPING; SYSTEM EVALUATION; UNPREPARED ENVIRONMENTS; VISION AND SCENE UNDERSTANDING; VISUAL TRACKING; WIDE AREA;

ARTIFICIAL INTELLIGENCE; AUGMENTED REALITY; CAMERAS; IMAGE PROCESSING; LAPTOP COMPUTERS; MATHEMATICAL TECHNIQUES; PATTERN RECOGNITION; PERSONAL DIGITAL ASSISTANTS; ROBOTICS;

TRACKING (POSITION);

EID: 84873529428     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2012.6402531     Document Type: Conference Paper

References (26)

1. D. Anguelov, C. Dulong, D. Filip, C. Frueh, S. Lafon, R. Lyon, A. Ogale, L. Vincent, and J. Weaver. Google Street View: Capturing the World at Street Level. Computer, 43(6):32-38, 2010.
2. C. Arth, M. Klopschitz, G. Reitmayr, and D. Schmalstieg. Real-Time Self-Localization from Panoramic Images on Mobile Devices. In International Symposium on Mixed and Augmented Reality, pages 37-46. IEEE, 2011.
3. C. Arth, D. Wagner, M. Klopschitz, A. Irschara, and D. Schmalstieg. Wide area localization on mobile phones. In International Symposium on Mixed and Augmented Reality, pages 73-82. IEEE, 2009.
4. C. Baillard and A. Zisserman. A plane-sweep strategy for the 3D reconstruction of buildings from multiple images. International Archives of Photogrammetry and Remote Sensing, 33(B2; PART 2):56-62, 2000.
5. R. Castle, G. Klein, and D. W. Murray. Video-rate localization in multiple maps for wearable augmented reality. In International Symposium on Wearable Computers, pages 15-22. IEEE, 2008.
6. O. Chum and J. Matas. Matching with PROSAC-progressive sample consensus. In Computer Vision and Pattern Recognition, pages 220-226 vol. 1. IEEE, 2005.
7. M. Fischler and R. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381-395, 1981.
8. Y. Furukawa, B. Curless, and S. Seitz. Towards internet-scale multiview stereo. Computer Vision and Pattern Recognition, 2010.
9. S. Gammeter, A. Gassmann, L. Bossard, T. Quack, and L. Van Gool. Server-side object recognition and client-side object tracking for mobile augmented reality. Computer Vision and Pattern Recognition Workshops (CVPRW), pages 1-8, 2010.
10. J. Ha, K. Cho, F. A. Rojas, and H. S. Yang. Real-time scalable recognition and tracking based on the server-client model for mobile Augmented Reality. International Symposium on VR Innovation (ISVRI), pages 267-272, 2011.
11. A. Irschara, C. Zach, J. M. Frahm, and H. Bischof. From structure-from-motion point clouds to fast location recognition. In Computer Vision and Pattern Recognition, pages 2599-2606. IEEE, 2009.
12. J. Karlekar, S. Zhou, W. Lu, Z. Loh, Y. Nakayama, and D. Hii. Positioning, tracking and mapping for outdoor augmentation. In International Symposium on Mixed and Augmented Reality (ISMAR), pages 175-184. IEEE, 2010.
13. G. Klein and D. Murray. Parallel tracking and mapping for small AR workspaces. In International Symposium on Mixed and Augmented Reality, pages 225-234. IEEE, 2007.
14. G. Klein and D. Murray. Improving the agility of keyframe-based SLAM. In Computer Vision-ECCV 2008, pages 802-815. Springer, 2008.
15. G. Klein and D. Murray. Parallel tracking and mapping on a camera phone. In International Symposium on Mixed and Augmented Reality, 2009.
16. J. Knopp, J. Sivic, and T. Pajdla. Avoiding confusing features in place recognition. Computer Vision-ECCV 2010, pages 748-761, 2010.
17. J. Lee, S. You, and U. Neumann. Tracking with omni-directional vision for outdoor AR systems. In International Symposium on Mixed and Augmented Reality, pages 47-56. IEEE, 2002.
18. D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60(2):91-110, 2004.
19. D. Nistér and H. Stewénius. Scalable recognition with a vocabulary tree. In Computer Vision and Pattern Recognition, pages 2161-2168. IEEE, 2006.
20. M. Oe, T. Sato, and N. Yokoya. Estimating camera position and posture by using feature landmark database. Image Analysis, pages 257-260, 2005.
21. Q. Pan, C. Arth, G. Reitmayr, E. Rosten, and T. Drummond. Rapid Scene Reconstruction on Mobile Phones from Panoramic Images. In International Symposium on Mixed and Augmented Reality, pages 55-64, Jan. 2011.
22. G. Reitmayr and T. Drummond. Going out: robust model-based tracking for outdoor augmented reality. In International Symposium on Mixed and Augmented Reality, pages 109-118. IEEE, 2006.
23. N. Snavely, S. Seitz, and R. Szeliski. Photo tourism: exploring photo collections in 3D. ACM Transactions on Graphics (TOG), 25(3):835-846, 2006.
24. G. Takacs, V. Chandrasekhar, N. Gelfand, Y. Xiong, W. C. Chen, T. Bismpigiannis, R. Grzeszczuk, K. Pulli, and B. Girod. Outdoors augmented reality on mobile phone using loxel-based visual feature organization. International Conference on Multimedia Information Retrieval, pages 427-434, 2008.
25. L. Vacchetti, V. Lepetit, and P. Fua. Stable real-time 3d tracking using online and offline information. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(10):1385-1391, 2004.
26. Z. Zhu, T. Oskiper, and S. Samarasekera. Real-time global localization with a pre-built visual landmark database. In Computer Vision and Pattern Recognition, 2008.