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Bringing into register incomplete range images of cultural artifacts

Tworzydło J., Skabek K., Luchowski L., Winiarczyk R.

Machine Graphics and Vision

2006

Vol. 15, No. 3/4

649-658

Finding solutions for preserving cultural heritage and historic and architectural sites as 3D models is an important problem in our days. Building 3D models of real objects is also an important research issue in virtual reality. Since a 3D range scanner, used to obtain 3D data, is a line-of-sight instrument, in most cases it is necessary to scan the object from multiple viewpoints to completely reconstruct it. The acquired range images need to be brought into register to build one coherent model. This article presents two registration methods for incomplete range images. One is based on the assumption that the range images being registered have a significant overlap with some feature points. The second one needs additional 2D photographs of the scene to perform the right registration, but the overlapping area of the range images is not necessary here. The presented methods are semi-automatic and base on the analysis of redundant and uncertain data.

Range image registration by neural network

Wu X., Li D.

Machine Graphics and Vision

2003

Vol. 12, No. 2

257-266

Range image contain 3D coordinates of points on the object surface which are sampled by range sensors. In general, a sensor can capture only parts of the object of occlusion and sensing limitations. A 3D model needs to be registered using multiple range images to integrate a complete one. Instead of registering range datasets with the traditional iterative closest point (ICP) method, we use a new algorithm combined with image processing and artificial neural network (ANN). Experimental results show the validity and efficiency of our method.