A New Feature Based Image Registration Algorithm
نویسندگان
چکیده
This paper introduces a new featurebased image registration algorithm which registers images by finding rotation and scale invariant features and matches them using an evidence accumulation process based on the Generalized Hough Transform. Once feature correspondence has been established, the transformation parameters are then estimated using Non-linear least squares (NLLS) and the standard RANSAC (Random Sample Consensus) algorithm. The algorithm is evaluated under similarity transforms translation, rotation and scale (zoom) and also under illumination changes.
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تاریخ انتشار 2008