Czech Pattern Recognition Society Feature point detection in multiframe images
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by Barbara Zitová, Jan Flusser, Jaroslav Kautsky, Gabriele Peters
http://www.utia.cas.cz/library/asep/../prace/20000011.pdf
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Abstract:
Abstract Feature point (FP) detection is an important preprocessing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe FP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated and shifted with respect to each other. We present a new method invariant under rotation that can handle differently blurred images. Thanks to this, the point sets extracted from different frames have relatively high number of common elements. This property is highly desirable for further multiframe processing. The performance of the method is demonstrated experimentally on satellite images and application on medical data is 1
Citations
| 210 | A survey of medical image registration – Maintz, Viergever - 1998 |
| 67 | Rotationally invariant image operators – Beaudet - 1978 |
| 53 | Volumetric Model and 3D-Trajectory of a Moving Car Derived from Monocular TV-Frame Sequences of a Street Scene – Dreschler, Nagel - 1982 |
| 40 | A feature based correspondence algorithm for image matching – Förstner - 1986 |
| 33 | Localization Properties of Direct Corner Detectors – Rohr - 1994 |
| 11 | Corner detection – Mehrotra, Nichani - 1990 |
| 8 | Moment-preserving corner detection – Liu, Tsai - 1990 |
| 6 | level corner detection – Gray - 1982 |
| 2 | Active detection and classification of junctions – Brunnström, Lindeberg, et al. - 1992 |
