Registration of visible and infrared images

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Abstract
This paper presents an approach for registering images obtained from sensors tuned to significantly different regions of the electromagnetic spectrum. Standard correlation techniques for registration are not appropriate because of the inherent differences between the images. We present an approach which uses surface boundaries (obtained at multiple scales via an edge extraction process) to determine the affine transformation required to bring the images into registration. The affine parameters for registration are found by a hierarchical estimation process. A least squares gradient based technique is used to directly estimate the affine parameters from the blurred edges. Results of applying the algorithm to real image data are included.

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