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This paper presents the Contrast Invariant and Affine Optical Flow (CIAO), a dense area-based sub-pixel image matching algorithm. CIAO does not force the estimated disparity field between two images to be smooth and allows for contrast and brightness changes. It is robust to drastic changes in the images' content thanks to an adaptive weighting of the neighboring pixels. In addition, the proposed...
Classic tie-point detection algorithms such as the Scale Invariant Feature Transform (SIFT) show their limitations when the images contain drastic changes or repetitive patterns. This is especially evident when considering multi-temporal series of images for change detection. In order to overcome this limitation we propose a new algorithm, the Affine Parameters Estimation by Random Sampling (APERS),...
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