In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
This distribution contains source code for a simple object tracking
program using particle filtering. You need to have the OpenCV Library
and the GNU Scientific Library (GSL) installed to compile and use the
programs. See the below two links:
object recognition using fast adaptive hough transform 快速自適應霍夫變換
作者：D.D. Haule. A.S. Malowany
Computer Vision and Robotics Laboratory
Department of Electrical Engineering
McGill University。IEEE 1989的文章，對指導霍夫變換檢測目標的識別有一定的參考意義
Ordinal Representation for Biometric Patterns.
Very helpful in Large number of object to be compared. its sort of ranking based comparison.not quantitative
