CenSurE: Center surround extremas for realtime feature detection and matching

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5305 LNCS, Issue PART 4, 2008, Pages 102-115

  Agrawal, Motilal ^a   Konolige, Kurt ^b   Blas, Morten Rufus ^c  

^a SRI INTERNATIONAL   (United States)

^b Willow Garage Inc   (United States)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; REAL TIME CONTROL; STABILITY CRITERIA;

FEATURE DETECTOR; HARRIS DETECTOR; REAL-TIME FEATURES; REAL-TIME IMPLEMENTATIONS; SCALE INVARIANT; SCALE SPACES; VISUAL ODOMETRY;

FEATURE EXTRACTION;

EID: 57149134211     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88693-8_8     Document Type: Conference Paper

References (21)

1. Konolige, K., Agrawal, M., Solà, J.: Large scale visual odometry for rough terrain. In: Proc. International Symposium on Robotics Research (November 2007)
2. Agrawal, M., Konolige, K.: Real-time localization in outdoor environments using stereo vision and inexpensive GPS. In: ICPR (August 2006)
3. Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conference, pp. 147-151 (1988)
4. Shi, J., Tomasi, C.: Good features to track. In: Proc. Computer Vision and Pattern Recognition (CVPR) (1994)
5. Rosten, E., Drummond, T.: Machine learning for high-speed corner detection. In: European Conference on Computer Vision, vol. 1 (2006)
6. Rosten, E., Drummond, T.: Fusing points and lines for high performance tracking 2, 1508-1515 (2005)
7. Mouragnon, E., Lhuillier, M., Dhome, M., Dekeyser, F., Sayd, P.: Real time localization and 3rd reconstruction. In: CVPR, vol. 1, pp. 363-370 (June 2006)
8. Nister, D., Naroditsky, O., Bergen, J.: Visual odometry. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition (June 2004)
9. Mikolajczyk, K., Schmid, C.: An affine invariant interest point detector. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350. Springer, Heidelberg (2002)
10. Lindeberg, T.: Feature detection with automatic scale selection. International Journal of Computer Vision 30(2) (1998)
11. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91-110 (2004)
12. Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Gool, L.V.: A comparison of affine region detectors. IJCV, 43-72 (2005)
13. Herbert Bay, T.T., Gool, L.V.: Surf: Speeded up robust features. In: European Conference on Computer Vision (May 2006)
14. Pei, S.C., Horng, J.H.: Design of FIR bilevel Laplacian-of-Gaussian filter. Signal Processing 82, 677-691 (2002)
15. Grabner, M., Grabner, H., Bischof, H.: Fast approximated SIFT. In: Narayanan, P.J., Nayar, S.K., Shum, H.-Y. (eds.) ACCV 2006. LNCS, vol. 3851, pp. 918-927. Springer, Heidelberg (2006)
16. Viola, P., Jones, M.: Robust real-time face detection. In: ICCV 2001 (2001)
17. Lienhart, R., Maydt, J.: An extended set of Haar-like features for rapid object detection. In: IEEE Conference on Image Processing (ICIP) (2002)
18. Mikolajczyk, K., Schmid, C.: Indexing based on scale invariant interest points. In: International Conference on Computer Vision (ICCV) (2001)
19. Fischler, M., Bolles, R.: Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography. Commun. ACM 24, 381-395 (1981)
20. Engels, C., Stewénius, H., Nister, D.: Bundle adjustment rules. Photogrammetric Computer Vision (September 2006)
21. Triggs, B., McLauchlan, P.F., Hartley, R.I., Fitzgibbon, A.W.: Bundle adjustment - a modern synthesis. In: Vision Algorithms: Theory and Practice. LNCS, pp. 298-375. Springer, Heidelberg (2000)