Adaptation and learning for image based navigation

Proceedings - 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008

Volumn , Issue , 2008, Pages 103-110

  Achar, Supreeth ^a   Jawahar, C V ^a  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION AND LEARNING; ADAPTIVE METHODS; CONTENT-BASED IMAGE RETRIEVALS; DATA ASSOCIATION PROBLEMS; IMAGE-BASED METHODS; IMAGE-BASED NAVIGATIONS; LOOP CLOSURES; METRIC MODELS; MOBILE ROBOTICS; NEW APPROACHES; TOPOLOGICAL GRAPHS;

COMPUTER VISION; EDGE DETECTION; IMAGE RETRIEVAL; IMAGING SYSTEMS;

THREE DIMENSIONAL;

EID: 65249164748     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICVGIP.2008.72     Document Type: Conference Paper

References (23)

1. M. Cummins and P. Newman. FAB-MAP: probabilistic localization and mapping in the space of appearance. The International Journal of Robotics Research, 27(6):647-665, 2008.
2. A. J. Davison, I. Reid, N. Molton, and O. Stasse. MonoSLAM: Real-time single camera SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6):1-16, June 2007.
3. G. N. DeSouza and A. C. Kak. Vision for mobile robot navigation: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(2):237-267, Febraury 2002.
4. M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24:381-395, June 1981.
5. F. Fraundorfer, C. Engels, and D. Nister. Topological mapping, localization and navigation using image collections. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, pages 3872-3877, 2007.
6. T. Hashem and Z. Andreas. Global visual localization of mobile robots using kernel principal component analysis. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, 2003.
7. A. Howard and N. Roy. The robotics data set repository (radish), 2003.
8. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, November 2004.
9. E. M. T. Maedab and H. Ishiguro. Image-based memory for robot navigation using properties of omnidirectional images. Robotics and Autonomous Systems, 47(4):251-267, 2004.
10. K. Mikolajczyk and C. Schmid. Scale and affine invariant interest point detectors. International Journal of Computer Vision, 60(1):63-86, 2004.
11. D. Nister. An efficient solution to the five-point relative pose problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(6):756-770, 2004.
12. D. Nister, O. Naroditsky, and J. Bergen. Visual odometry. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), volume 1, pages 652-659, 2004.
13. D. Nistér and H. Stewénius. Scalable recognition with a vocabulary tree. In IEEE Conf. on Computer Vision and Pattern Recognition, volume 2, pages 2161-2168, June 2006.
14. A. Remazeilles and F. Chaumette. Image-based robot navigation from an image memory. Robotics and Autonomous Systems, 55(4):345-356, 2007.
15. D. Santosh, S. Achar, and C. V. Jawahar. Autonomous image-based exploration for mobile robot navigation. In IEEE International Conference on Robotics and Automation, 2008.
16. S. Segvic, A. Remazeilles, A. Diosi, and F. Chaumette. Large scale vision-based navigation without an accurate global reconstruction. In IEEE Conf. on Computer Vision and Pattern Recognition, June 2007.
17. J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In International Conference on Computer Vision, 2003.
18. J. Tardif, Y. Pavalidis, and K. Daniilidis. Monocular visual odometry in urban environments using an omnidirectional camera. In International Conference on Intelligent Robots and Systems, 2008.
19. S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. MIT Press, Cambridge, 2005.
20. W. Triggs, P. F. McLauchlan, R. I. Hartley, and A. Fitzgibbon. Vision Algorithms: Theory and Practice, chapter Bundle Adjustment for Structure from Motion. Springer-Verlag, 2000.
21. T. Yeh, J. Lee, and T. Darell. Adaptive vocabluary forests for dynamic indexing and category learning. In International Conference on Computer Vision, 2007.
22. W. Zhang and J. Kosecka. Image based localization in urban environments. In International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT, 2006.
23. C. Zhou, Y. Wei, and T. Tan. Mobile robot self-localization based on global visual appearance features. In IEEE International Conference on Robotics and Automation, 2003.