A new method for affine registration of images and point sets

Lecture Notes in Computer Science

Volumn 3540, Issue , 2005, Pages 224-234

  Kannala, Juho ^a   Rahtu, Esa ^a   Heikkilä, Janne ^a   Salo, Mikko ^b  

^a UNIVERSITY OF OULU   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; EMBEDDED SYSTEMS; ITERATIVE METHODS; MATHEMATICAL TRANSFORMATIONS; PATTERN RECOGNITION; ROBUSTNESS (CONTROL SYSTEMS);

AFFINE REGISTRATION OF IMAGES AND POINT PATTERNS; NON-FEATURE-BASED REGISTRATION METHODS; POINT PATTERNS;

IMAGE ANALYSIS;

EID: 26444492584     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11499145_25     Document Type: Conference Paper

References (9)

1. Zitová, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comput. 21 (2003) 977-1000
2. Fitzgibbon, A.W.: Robust registration of 2D and 3D point sets. In: Proc. British Machine Vision Conference. (2001)
3. Viola, P., Wells, W.M.: Alignment by maximization of mutual information. International Journal of Computer Vision (1997) 137-154
4. Rangarajan, A., Chui, H., Duncan, J.S.: Rigid point feature registration using mutual information. Medical Image Analysis 3 (1999) 425-440
5. Yang, Z., Cohen, F.: Cross-weighted moments and affine invariants for image registration and matching. IEEE Trans. Pattern Anal. Mach. Intell. 21 (1999) 804-814
6. Heikkilä, J.: Pattern matching with affine moment descriptors. Pattern Recognition 37 (2004) 1825-1834
7. Rahtu, E., Salo, M., Heikkilä, J.: A new efficient method for producing global affine invariants. Submitted (2005)
8. Arun, K.S., Huang, T.S., Blostein, S.D.: Least-squares fitting of two 3-D point sets. IEEE Trans. Pattern Anal. Mach. Intell. 9 (1987) 698-700
9. Umeyama, S.: Least-squares estimation of transformation parameters between two point patterns. IEEE Trans. Pattern Anal. Mach. Intell. 13 (1991) 376-380