HALF-SIFT: High-accurate localized features for SIFT

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009

Volumn , Issue , 2009, Pages 31-38

  Cordes, Kai ^a   Müller, Oliver ^a   Rosenhahn, Bodo ^a   Ostermann, Jörn ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; ERRORS;

DIFFERENCE OF GAUSSIANS; FEATURE POINT LOCALIZATION; LOCALIZED FEATURES; MODEL FUNCTIONS; NATURAL IMAGES; PARABOLIC FUNCTIONS; SCALE INVARIANT FEATURE TRANSFORMS; SCALE SPACES;

FEATURE EXTRACTION;

EID: 70449564575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2009.5204283     Document Type: Conference Paper

References (17)

1. H. Bay, T. Tuytelaars, and L. V. Gool. Surf: Speeded up robust features. In European Conference on Computer Vision (ECCV), volume 3951, pages 404-417. Springer, 2006.
2. M. Brown and D. G. Lowe. Invariant features from interest point groups. In British Machine Vision Conference (BMVC), pages 656-665, 2002.
3. J. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 8(6):679-698, 1986.
4. J. W. Goodman. Introduction to Fourier Optics. McGraw-Hill, 1968.
5. C. Harris and M. Stephens. A combined corner and edge detector. In 4th Alvey Vision Conference, pages 147-151, 1988.
6. Y. Ke and R. Sukthankar. Pca-sift: A more distinctive representation for local image descriptors. In International Conference on Computer Vision and Pattern Recognition (ICCV), pages 506-513, 2004.
7. T. Lindeberg. Feature detection with automatic scale selection. International Journal of Computer Vision (IJCV), 30:79-116, 1998. (Pubitemid 128517917)
8. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (IJCV), 60(2):91-110, 2004.
9. B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In 7th International Joint Conference on Artificial Intelligence (IJCAI), pages 674-679, 1981.
10. K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. International Journal of Computer Vision (IJCV), 60(1):63-86, 2004.
11. K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 27(10): 1615-1630, 2005.
12. K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. V. Gool. A comparison of affine region detectors. International Journal of Computer Vision (IJCV), 65(1-2):43-72, 2005.
13. P. Mikulastik, H. Broszio, T. Thormählen, and O. Urfalioglu. Error analysis of feature based disparity estimation. In Advances in Image and Video Technology (PSIVT), volume 4319, pages 1-12. Springer, 2006.
14. P. Rockett. The accuracy of sub-pixel localisation in the canny edge detector. In British Machine Vision Conference (BMVC), 1999.
15. C. Schmid, R. Mohr, and C. Bauckhage. Comparing and evaluating interest points. IEEE International Conference on Computer Vision (ICCV), pages 230-235, 1998.
16. C. Schmid, R. Mohr, and C. Bauckhage. Evaluation of interest point detectors. International Journal of Computer Vision (IJCV), 37(2): 151-172, 2000.
17. T. Tuytelaars and K. Mikolajczyk. Local invariant feature detectors: a survey, volume 3. Foundations and Trends in Computer Graphics and Vision.