Registration of Translated and Rotated Images Using Finite Fourier Transforms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of component image velocity from local phase information
International Journal of Computer Vision
Phase-based disparity measurement
CVGIP: Image Understanding
Digital image processing
Image matching using the windowed Fourier phase
International Journal of Computer Vision
Hypergeometric Filters for Optical Flow and Affine Matching
International Journal of Computer Vision
Rotations- und Translationsbestimmung durch eine erweiterte Kepstrum-Technik
Mustererkennung 1995, 17. DAGM-Symposium
Bildmatching und Bewegungskompensation bei Fundus-Bildern
Mustererkennung 1998, 20. DAGM-Symposium
Automatic Monocular 3D-Reconstruction of Indoor Environments Using Mobile Vehicles
Proceedings of the 24th DAGM Symposium on Pattern Recognition
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In this paper an approach is presented for robust shift detection of two given images. The new unifying idea is that we determine a shifted delta impulse using some well-known restoration techniques, e.g. the Wiener filtering, constraint restoration, entropy restoration, and Baysian restoration. The used restoration techniques imply the robustness of the presented method. Our approach is a generalization of the matched filtering approach. Additionally, we describe in the paper the problem of calculating an evaluation measure of the restored delta impulse image. This measure is the basis for the uncertainty of the detected shift. The unifying approach of shift detection by restoration (SDR-method) could be tested successfully, for example using a series of fundus image pairs which are of practical interest and which contain also small rotations, scalings and even deformations