A new approach to integrate range data from multiple viewpoints is described. Complicated objects, for example flowers, are observed by a range finder from multiple viewpoints whose relative position is unknown. After simple segmentation, correspondences of regions between two consecutive data are examined. This matching process relies on regions which are not. supposed to be influenced by occlusion. Transformation parameters between two data are calculated by referring to the matching result. An iteration process to minimize difference estimates of corresponding regions is devised so that a more accurate result is obtained. Data observed from multiple viewpoints are transferred to standard coordinates and integrated. Results on some objects, for example flowers, show that so far that, this method is promising.