期刊
IMAGE AND VISION COMPUTING
卷 25, 期 5, 页码 578-596出版社
ELSEVIER
DOI: 10.1016/j.imavis.2006.05.012
关键词
computer vision; 3D reconstruction; range image; registration
The three-dimensional reconstruction of real objects is an important topic in computer vision. Most of the acquisition systems are limited to reconstruct a partial view of the object obtaining in blind areas and occlusions, while in most applications a full reconstruction is required. Many authors have proposed techniques to fuse 3D surfaces by determining the motion between the different views. The first problem is related to obtaining a rough registration when such motion is not available. The second one is focused on obtaining a fine registration from an initial approximation. In this paper, a survey of the most common techniques is presented. Furthermore, a sample of the techniques has been programmed and experimental results are reported to determine the best method in the presence of noise and outliers, providing a useful guide for an interested reader including a Matlab toolbox available at the webpage of the authors. (c) 2006 Elsevier B.V. All rights reserved.
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