A Review of Recent Range Image Registration Methods with Accuracy Evaluation

Abstract : 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.
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Joaquim Salvi, Carlès Matabosch, David Fofi, Josep Forest. A Review of Recent Range Image Registration Methods with Accuracy Evaluation. Image and Vision Computing, Elsevier, 2007, 25 (5), pp.578-596. ⟨https://www.sciencedirect.com/science/article/pii/S0262885606001594⟩. ⟨10.1016/j.imavis.2006.05.012⟩. ⟨hal-00578333⟩

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