Abstract
Active matching windows for matching in panoramic images taken by a catadioptric camera are proposed. The shape and the size of the windows vary depending on the position of an interest point. The windows size is then normalized and a standard correlation is used for measuring similarities of the points. A semi-iterative method based on sorting correspondences according to their similarity is suggested to remove possible outliers. It is experimentally shown that using this method the matching is successful for small and also big displacement of corresponding points.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chahl, J., Srinivasan, M.: A complete panoramic vision system, incorporating imaging, ranging, and three dimensional navigation. IEEE Workshop on Omnidirectional Vision. IEEE Computer Society Press (June 2000) 104–111
Faugeras, O.: Three-Dimensional Computer Vision. MIT Press, 1993.
Geyer, C., Daniilidis, K.: A unifying theory for central panoramic systems and practical implications. In: Vernon, D. (ed.): Proceedings of the 6th European Conference on Computer Vision. Lecture Notes in Computer Science no. 1843. Springer, Berlin, Germany (June/July 2000) 445–461
Golub, G.H., v. Loan, C.F.: Matrix Computation. 2nd edn.. The Johns Hopkins University Press (1989)
Harris, C., Stephen, M.: A combined corner and edge detection. In: Matthews, M.M. (ed.): Proceedings of the 4th ALVEY vision conference. University of Manchester, England (Sep 1988) 147–151
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge, UK (2000)
Huang, T., Faugeras, O.: Some properties of the E matrix in two-view motion estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(12) (Dec 1989) 1310–1312
Pajdla, T., Svoboda, T., Hlaváč, V.: Epipolar geometry of central panoramic cameras. In: Benosman, R., Kang, S.B. (eds.): Panoramic Vision: Sensors, Theory and Applications. Springer (2001) 85–114
Pohl, Z.: Omnidirectional vision-searching for correspondences. Master’s thesis. Czech Technical University in Prague, Prague, Czech Republic (Feb 2001)
Svoboda, T.: Central Panoramic Cameras Design, Geometry, Egomotion. PhD Thesis, Center for Machine Perception. Czech Technical University, Prague, Czech Republic (Apr 2000)
Svoboda, T., Pajdla, T., Hlaváč, V.: Epipolar geometry for panoramic cameras. In: Burkhardt, H., Bernd, N., (eds.): the Fifth European Conference on Computer Vision, Freiburg, Germany. Lecture Notes in Computer Science, no. 1406. Springer, Berlin, Germany (Jun 1998) 218–232
Torr, P., Murray, D.: The development and comparison of robust methods for estimating the fundamental matrix. IJCV 24(3) (Sep 1997) 271–300.
Zhang, Z.: Determining the epipolar geometry and its uncertainty: A review. International Journal of Computer Vision 27(2) (1998) 161–195
Zhang, Z., Deriche, R., Faugeras, O., Luog, Q.T.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence 78 (Oct 1995) 87–119. Also: Research Report No.2273, INRIA Sophia-Antipolis
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Svoboda, T., Pajdla, T. (2001). Matching in Catadioptric Images with Appropriate Windows, and Outliers Removal. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_88
Download citation
DOI: https://doi.org/10.1007/3-540-44692-3_88
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42513-7
Online ISBN: 978-3-540-44692-7
eBook Packages: Springer Book Archive