Image alignment is a process of matching one image called template (let's denote it as T) and another image I (see fig. 1). There are many applications of image alignment, such as tracking objects on video, motion analysis and many other tasks of computer vision. In 1981 Bruse D. Lucas and Takeo Kanade proposed new technique that used image intensity gradient information to search for the best match between template T and another image I. The proposed algorithm is widely used in the field of computer vision for the last 20 years and has many modifications and extensions.
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