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Titlebook: Digitally Archiving Cultural Objects; Katsushi Ikeuchi,Daisuke Miyazaki Book 2008 Springer-Verlag US 2008 3D.3D modeling.Alignment.Ikeuchi

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Hole Filling of 3D Model by Flipping Signs of Signed Distance Field in Adaptive Resolutionfter flipping the sign of the signed distance of the voxel. If the area is reduced by flipping the sign, our method changes the sign for the voxel. Therefore, we minimize the area of the interpolating surface by iterating this computation until convergence. Unlike methods based on Partial Differenti
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Consistent Surface Color for Texturing Large Objects in Outdoor Scenesve them. To reliably estimate the illumination colors in outdoor scenes, we include the analysis of noise, since the presence of noise is inevitable in natural images. As a result, compared to existing methods, the proposed method is more effective and robust in handling outdoor scenes. In addition,
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Separating Illumination and Surface Spectral from Multiple Color Signalsdiffuse and specular, lit by a single illumination spectral power distribution. Practically we applied our method to deal with the color signals of a scene taken by the interference filter, and we separated its illumination spectral power distribution and surface spectral reflectance.
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Anja Matwijkiw,Bronik Matwijkiwthe moving platform, and a correct 3D model can be constructed from data scanned by the main unit..We applied this system to the Bayon Temple in Angkor Thom, Cambodia. The scanning results proved that the system gives an accurate 3D model, and that the system and the speed of the estimating process
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Maša Filipovič Hrast,Katharina Zimmermannnge images increases. Thus, we applied the Incomplete Cholesky Conjugate Gradient (ICCG) method to solve the equations and found that the ICCG greatly accelerates the matrix operation by pre-conditioning the coefficient matrix. Some experimental results in which a large number of range images are al
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Borja Martinović,Fenella Fleischmannevaluation function in our proposed algorithm includes those deformation parameters as well. Our proposed algorithm can be applied to a wide range of application areas of computer vision, in particular, shape modelling and shape analysis. In this chapter, we describe how we formulated such an algori
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