Image features based on a new approach to 2D rotation invariant quadrature filters

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

Volumn 2350, Issue , 2002, Pages 369-383

  Felsberg, Michael ^a   Sommer, Gerald ^b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITY OF KIEL   (Germany)

Author keywords

Analytic signal; Image features; Orientation estimation; Point of interest operator; Quadrature filters; Structure tensor

Indexed keywords

EDGE DETECTION; TENSORS;

ANALYTIC SIGNALS; IMAGE FEATURES; ORIENTATION ESTIMATION; POINT OF INTEREST; QUADRATURE FILTERS; STRUCTURE TENSORS;

COMPUTER VISION;

EID: 84944412723     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47969-4_25     Document Type: Conference Paper

References (22)

1. Oppenheim, A., Lim, J.: The importance of phase in signals. Proc. of the IEEE 69 (1981) 529–541
2. Granlund, G.H., Knutsson, H.: Signal Processing for Computer Vision. Kluwer Academic Publishers, Dordrecht (1995)
3. Koenderink, J.J.: What is a “feature”? Journal of Intelligent Systems 3 (1993) 49–82
4. Krieger, G., Zetzsche, C.: Nonlinear image operators for the evaluation of local intrinsic dimensionality. IEEE Trans. on Image Processing 5 (1996) 1026–1041
5. Bülow, T., Sommer, G.: The hypercomplex signal – a novel approach to the multidimensional analytic signal. IEEE Trans. on Signal Processing 49 (2001) 2844–2852
6. Freeman, W.T., Adelson, E.H.: The design and use of steerable filters. IEEE Trans. on Pattern Analysis and Machine Intelligence 13 (1991) 891–906
7. Hahn, S.L.: Hilbert Transforms in Signal Processing. Artech House, Boston, London (1996)
8. Bülow, T., Sommer, G.: Algebraically extended representation of multi-dimensional signals. In: Proc. ofthe 10th Scand. Conf. on Image Analysis. (1997) 559–566
9. Sangwine, S.J.: Fourier-transforms of color images using quaternion or hypercomplex numbers. Electronic Letters 32 (1996) 1979–1980
10. Felsberg, M., Sommer, G.: The monogenic signal. IEEE Trans. on Signal Processing 49 (2001) 3136–3144
11. Stein, E., Weiss, G.: Introduction to Fourier Analysis on Euclidean Spaces. Princeton University Press, New Jersey (1971)
12. Bigün, J., Granlund, G.H.: Optimal orientation detection of linear symmetry. In: Proc. of the IEEE First Intern. Conference on Computer Vision. (1987) 433–438
13. Förstner, W., Gülch, E.: A fast operator for detection and precise location of distinct points, corners and centres of circular features. In: ISPRS Intercommission Workshop, Interlaken. (1987) 149–155
14. Jähne, B.: Digitale Bildverarbeitung. Springer-Verlag, Berlin (1997)
15. Förstner, W.: Statistische Verfahren für die automatische Bildanalyse und ihre Bewertung bei der Objekterkennung undvermessung. Number 370 in C. Verlag der Bayerischen Akademie der Wissenschaften (1991)
16. Weickert, J.: A review ofnonlinear diffusion filtering. In ter Haar Romeny, B., Florack, L., Koenderink, J., Viergever, M., eds.: Scale-Space Theory in Computer Vision. Volume 1252 of LNCS., Springer, Berlin (1997) 260–271
17. Felsberg, M., Sommer, G.: Scale adaptive filtering derived from the Laplace equation. In: 23. DAGM Symposium Mustererkennung, München. Volume 2191 of LNCS., Springer-Verlag, Heidelberg (2001) 124–131
18. Felsberg, M., Sommer, G.: A new extension oflinear signal processing for estimating local properties and detecting features. In:22. DAGM Symposium Mustererkennung, Kiel. Springer-Verlag, Heidelberg (2000) 195–202
19. Harris, C.G., Stephens, M.: A combined corner and edge detector. In: 4th Alvey Vision Conference. (1988) 147–151
20. Mokhtarian, F.: Image corner detection through curvature scale space. http://www.ee.surrey.ac.uk/Research/VSSP/demos/corners/ (2001) (Accessed 16 Nov 2001).
21. Schmid, C., Mohr, R.C.B, .: Evaluation of interest point detectors. International Journal ofComputer Vision 37 (2000) 151–172
22. Pauli, J.: Kiel appearance image library. http://www.ks.informatik.unikiel.de/˜jpa/images.html (1998) (Accessed 22 Feb 2002).