We present a simple yet highly efficient method to register range and color images. This method does not rely\r\nupon calibration parameters nor does it use visual features analysis. Our assumption is that if the transformation\r\nthat registers the images is a mathematical function, we can approximate with little number of samples. To this\r\nend, thin-plate spline-based interpolations are used in this paper. Therefore, the registration of one point in our\r\nmethod takes only the solving of a nonlinear function. Drastically enhanced performances in the computational\r\nprocessing are attained under this condition. In fact, we show that ultimately our computational algorithm is\r\nindependent of the complexity of the mathematical model underlying it. Finally, this paper reports on the results of\r\nexperiments conducted with various range camera models that endorse the proposed method. Eventually, three\r\nkey features can be derived from our method: practicality, accuracy, and wide applicability.
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