IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust regression and outlier detection
Robust regression and outlier detection
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Robust Video Mosaicing through Topology Inference and Local to Global Alignment
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
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This paper proposes an iterative methodology for real-time robust mosaic topology inference. It tackles the problem of optimal feature selection (optimal sampling) for global estimation of image transformations. This is called IGLOS: iterative global optimal sampling. IGLOS is a unified framework for robust global image registration (optimum feature selection and model computation are considered within the same methodology). The major novelty is that it does not rely on random sampling procedures. Furthermore, by considering an optimal subset of the total number of correspondences, it naturally avoids trivial solution. IGLOS can cope with any motion parameterization and estimation technique. Applications to underwater linear global mosaics and topology estimation are presented.