Global localization and relative pose estimation based on scale-invariant features

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2004, Pages 319-322

  Košecká, Jana ^a   Yang, Xiaolong ^a  

^a George Mason University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE LOCALIZATION; LOCAL FOURIER TRANSFORMS; SCALE-INVARIANT KEYPOINTS; VISION-BASED HYBRID LOCALIZATION;

CAMERAS; COMPUTER VISION; FOURIER TRANSFORMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MOBILE ROBOTS; PREVENTIVE MAINTENANCE; PRINCIPAL COMPONENT ANALYSIS; SET THEORY; TOPOLOGY;

FEATURE EXTRACTION;

EID: 10044298178     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333767     Document Type: Conference Paper

References (18)

1. M. Artac, M. Jogan, and A. Leonardis. Mobile robot localization using an incremental eigenspace model. In IEEE Conference of Robotics and Automation, pages 1025 - 1030, 2002.
2. G. Bianco and A. Zelinsky. Biologically-inspired visual landmarks learning and navigation for mobile robots. In IEEE/RSJ International Conference on Intelligent Robots and System, 1999.
3. M. Brooks, L. D. Agapito, D. Huyng, and L. Baumela. Towards robust metric reconstruction via a dynamic uncalibrated stereo. Image and Vision Computing, 16(14):989-1002, 1998.
4. M. Brown and D. Lowe. Invariant features from interest point groups. In In Proceedings of BMVC, Cardiff, Wales, pages 656-665, 2002.
5. A. Davidson and D. Murrray. Simultaneous localization and map building using active vision. IEEE Transactions on PAMI, 24(7):865-880, 2002.
6. J. Gaspar, N. Winters, and J. Santos-Victor. Vision-based navigation and environmental representations with an omni-directional camera. IEEE Transactions on Robotics and Automation, pages 777-789, December 2000.
7. J. Košecká, L. Zhou, P. Barber, and Z. Duric. Qualitative image based localization in indoors environments. In IEEE Proceedings of CVPR, pages 3-8, 2003.
8. D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, page to appear, 2004.
9. Y. Ma, S. Soatto, J. Kosecka, and S. Sastry. Invitation to 3D Vision: From Images to Geometric Models. Springer-Verlag, 2003.
10. Y. Ma, R. Vidal, J. Košecká, and S. Sastry. Kruppa's equation revisted: Degeneracy and renormalization. In ECCV, 2000.
11. R. Nelson and A. Selinger. Large scale tests of a keyed, apperance based 3d object recognition system. Vision Research, 38(15):2469-99, 1998.
12. B. Schiele and J. L. Crowley. Object recognition using multidimensional receptive field histograms. International Journal of Computer Vision, 2000.
13. C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE Transactions on PAMI, 19(5):530-534, 1997.
14. S. Se, D. Lowe, and J. Little. Global localization using distinctive visual features. In Proc. of International Conference on Robots and Systems, pages 153-158, 2002.
15. R. Sims and G. Dudek. Learning envirmental features for pose estimation. Image and Vision Computing, 19(11):733-739, 2001.
16. P. Sturm. On focal length calibration from two views. In Conference on CVPR, Kauai, volume 2, pages 145-150, 2001.
17. A. Torralba and P. Sinha. Recognizing indoor scenes. MIT AI Memo, 2001.
18. X. Xang and J. Košecká. Experiments in location recognition using scale-invariant sift features. Technical Report GMU-TR-2004-2, George Mason University, 2004.