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Range image registration is an attractive topic in image processing field. It aims at finding an optimal transformation or correspondence between images captured from different views. Iterative closest point (ICP) algorithm is the most well-known method for registration. However, it needs a pre-alignment typically provided by the user. To overcome this drawback of ICP algorithm, many intelligent algorithms...
Range image registration is a popular problem in pattern recognition and computer vision, and it has a wide range of applications in real life. The objective of registration is to match two models as close as possible. In this area, the best known iterative closest point (ICP) method is sensitive to the initial position of two models and it is easy stuck in local minima. In recent years, heuristic...
3D parts inspection can be conducted by comparing the ideal design geometry with the real measurement points. Since the design coordinate system is different from the measurement coordinate system, these measurement points should be registered to the design coordinate system first. In this research area, iterative closest point (ICP) is the best-known algorithm, however, in order to converge to the...
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