A mobile vision system for urban detection with informative local descriptors

Proceedings of the Fourth IEEE International Conference on Computer Vision Systems, ICVS'06

Volumn 2006, Issue , 2006, Pages 30-

  Fritz, Gerald ^a   Seifert, Christin ^a   Paletta, Lucas ^a  

^a JOANNEUM RESEARCH   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR TELEPHONE SYSTEMS; DECISION MAKING; IMAGING TECHNIQUES; PATTERN MATCHING; SIGNAL FILTERING AND PREDICTION; TRACKING (POSITION);

MOBILE IMAGERY; MOBILE PHONE; MOBILE VISION; URBAN DETECTION;

COMPUTER VISION;

EID: 33749424381     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICVS.2006.5     Document Type: Conference Paper

References (15)

1. A.R. Dick, P.H.S. Torr, and R. Cipolla. Modelling and interpretation of architecture from several images. International Journal of Computer Vision, 60(2):111-134, 2004.
2. G. Dorko and C. Schmid. Selection of scale-invartiant parts for object class recognition. In Proc. International Conference on Computer Vision, ICCV 2003, pages 634-640, 2003.
3. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In Proc. Conference on Computer Vision and Pattern Recognition, pages 264-271, 2003.
4. G. Fritz, L. Paletta, and H. Bischof. Object recognition using local information content. In Proc. International Conference on Pattern Recognition, ICPR 2004, volume II, pages 15-18. Cambridge, UK, 2004.
5. B. Hofmann-Wellenhof, H. Lichtenegger, and J. Collins. Global Positioning System Theory and Practice. Springer-Verlag, Vienna, Austria, 2001.
6. Y. Li and L. Shapiro. Consistent line clusters for building recognition in CBIR. In Proc. International Conference on Pattern Recognition, ICPR 2002, volume 3, pages 952-957, 2002.
7. D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
8. K. Mikolajczyk and C. Schmid. An affine invariant interest point detector. In Proc. European Conference on Computer Vision, ECCV 2002, pages 128-142, 2002.
9. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. In Proc. Computer Vision and Pattern Recognition, CVPR 2003, Madison, WI, 2003.
10. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. http://www.robots.ox.ac.uk/vgg/research/affine/, 2004.
11. S. Obdrzalek and J. Matas. Object recognition using local affine frames on distinguished regions. In Proc. British Machine Vision Conference, pages 113-122, 2002.
12. J.R. Quinlan. C4.5 Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 1993.
13. H. Shao, T. Svoboda, and L. van Gool. HPAT indexing for fast object/ scene recognition based on local appearance. In Proc. International Conference on Image and Video Retrieval, CIVR 2003, pages 71-80. Chicago,IL, 2003.
14. M. Vidal-Naquet and S. Ullman. Object recognition with informative features and linear classication. In Proc. International Conference on Computer Vision, ICCV2003, pages 281-288. Nice, France, 2003.
15. T. Yeh, K. Tollmar, and T. Darrell. Searching the web with mobile images for location recognition. In Proc. IEEE Computer Vision and Pattern Recognition, CVPR 2004, pages 76-81, Washington, DC, 2004.