LDB: An ultra-fast feature for scalable Augmented Reality on mobile devices

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

Volumn , Issue , 2012, Pages 49-57

  Yang, Xin ^a   Cheng, Kwang Ting ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Augmented reality; binary feature descriptor; mobile devices; object recognition; tracking

Indexed keywords

BINARY FEATURES; BINARY STRING; DESCRIPTORS; FEATURE DESCRIPTORS; GRID CELLS; GRIDDING; HIGH ROBUSTNESS; IMAGE PATCHES; LARGE DATABASE; MATCHING SPEED; MOBILE AR; MOBILE AUGMENTED REALITY; REAL TIME PERFORMANCE; SPATIAL GRANULARITY; ULTRA-FAST; USER EXPERIENCE;

AUGMENTED REALITY; DATABASE SYSTEMS; OBJECT RECOGNITION; SURFACE DISCHARGES;

MOBILE DEVICES;

EID: 84873549420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2012.6402537     Document Type: Conference Paper

References (26)

1. Bay, H., Ess, A., Tuytelaars, T. and Gool, L.V. SURF: Speeded-Up Robust Features. In Proc. of ECCV'06.
2. Lowe, D. G., Distinctive Image Features from Scale-Invariant Keypoints. In International Journal of Computer Vision, 60, 2, pp. 91-110, 2004.
3. Calonder, M., Lepetit, V., Strecha, C., and Fua, P. Brief: Binary Robust Independent Elementary Features. In Proc. of ECCV'10.
4. Rublee, E., Rabaud, V., Konolige, K., and Bradski, G.. ORB: an Efficient Alternative to SIFT or SURF. In Proc. of ICCV'11, Barcelona, Spain.
5. T. Tuytelaars and C. Schmid, "Vector Quantizing Feature Space With a Regular Lattice," International Conference on Computer Vision, 2007.
6. Schechtman, E., and Irani, M. Matching Local Self-Similarities across Images and Videos. In Proc. of CVPR'07.
7. Ke, Y., and Sukthankar, R. PCA-SIFT: A More Distinctive Representation for Local Image Descriptors. in Proc. of CVFR'04.
8. Calonder, M., Lepetit, V., Konolige K., Bowman, J., Mihelich, P., and Fua, P. Compact Signatures for High-Speed Interest Point Description and Matching, In Proc. of ICCV'09.
9. Nister, D., and Stewenius, H. Scalable Recognition with a Vocabulary Tree. In Proc. of CVFR'06.
10. Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T. and Schmalstieg, D. Pose tracking from natural features on mobile phones. In Proc. of ISMAR'08.
11. Wagner, D., Schmalstieg, D., and Bischof, H. Multiple Target Detection and Tracking with Guaranteed Framerates on Mobile Phones. In Proc. of ISMAR'09.
12. Wagner, D., Mulloni, A., Langlotz, T., and Schmalstieg, D. Realtime Panoramic Mapping and tracking on Mobile Phones. In Proc of IEEE VR'10.
13. Klein, G., and Murray, D. Parallel tracking and mapping on a camera phone. In Proc. of ISMAR'09, Orlando, October.
14. Ta, D.N., Chen, W.C., Gelfand, N., and Pulli, K.. SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors. In Proc. of CVPR'09.
15. Takacs, G., Chandrasekhar, V., and Tsai, S. Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features. In Proc. of CVPR'10.
16. Torralba, A., Fergus, R., Weiss, Y. Small Codes and Large Databases for Recognition. In Proc. of CVPR'08.
17. Taylor, S., Rosten, E., Drummond, T. Robust feature matching in 2.3us. In Proc. of CVPR'09.
18. Lepetit, V., Lagger, P., and Fua, P. Randomized Trees for Real-time Keypoint Recognition. in Proc. of CVPR'05, pp. 775-781.
19. Pilet, J., and Saito, H. Virtually Augmenting Hundreds of Real Pictures: An Approach based on Learning, Retrieval, and Tracking. in Proc. of VR'10.
20. Rosten, E., Porter, R., and Drummond, T. Faster and Better: A machine learning approach to comer detection. IEEE Trans. PAMI, 32:105-119, 2010.
21. OpenCV2.3.1, http://sourceforge.net/projects/opencvlibrary/
22. ImageMagic, http://www.imagemagick.org/script/index.php
23. ImageSequences, http://www.robots.ox.ac.uk/~vgg/research/affine.
24. Chum, O., and Matas, J. Matching with PROSAC - progressive sample consensus. in Proc. of CVPR'05, volume 1, pages 220-226.
25. Gionis, A., Indyk, P., and Motwani, R.. Similarity search in high dimensions via hashing. In Proc. of VLDB'99.
26. Lv, Q., Josephson, W., Wang, Z., Charikar, M., and Li, K.. Multi-probe LSH: efficient indexing for high-dimensional similarity search. In Proc. of VLDB'07.