Marching intersections: an efficient resampling algorithm for surface management

Rocchini, Claudio; Cignoni, Paolo; Ganovelli, Fabio; Montani, Claudio; Pingi, Paolo; Scopigno, Roberto

doi:10.1109/sma.2001.923401

Cited by 27 publications

(17 citation statements)

References 26 publications

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“…Since the 3-D shape reconstruction is generally impossible from just one image, they used iterative multi-view integration to estimate the complete object shape. This techniques include alignment [10,11], view-merging [12,13], and model simplification [14]. Adato [8] uses the specular flow from the relative motion, between the specular object and its environment, in order to reconstruct shape geometry of specular objects.…”

Section: Highly Reflective Objectsmentioning

confidence: 99%

Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing

Osorio

Salazar

Prieto

et al. 2010

Machine Vision and Applications

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Digitizing specular and transparent objects pose significant problems using traditional 3-D scanning techniques due to the reflection and refraction that interfere with the optical scanning process used for triangulation. In this paper, we present how one can digitize those difficult objects by modifying a commercial 3-D acquisition system with an interchangeable ultraviolet and infrared light source. Experimental results show that the proposed technique can generate accurate 3-D models of these optically challenging objects without major modifications to the 3-D scanner. The results were obtained without preprocessing or multi-view manipulations. The precision of the 3-D measurements is evaluated relative to the visible spectrum acquisition obtained by painting the test objects with matte paint to suppress optical difficulties. Results shows that wavelength changes in the 3-D acquisition system do not change the scanner precision but solve many of the issues that specular and transparent objects poses.

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Section: Highly Reflective Objectsmentioning

confidence: 99%

Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing

Osorio

Salazar

Prieto

et al. 2010

Machine Vision and Applications

View full text Add to dashboard Cite

show abstract

“…There have been many studies on constructing the approximate shape of an object [14][15][16][17]. These methods can be used to construct a high-quality shape, but their algorithms are complex and susceptible to noise.…”

Section: A Creating Voxel Model By Sfsmentioning

confidence: 99%

Computer-generated holograms using multiview images captured by a small number of sparsely arranged cameras

et al. 2012

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Computer-generated holograms (CGHs) using multiview images (MVIs) are holograms generated with multiple ordinary cameras. This process typically requires a huge number of cameras arranged at high density. In this paper, we propose a method to improve CGH using MVIs that obtains the MVIs by using voxel models rather than cameras. In the proposed method the voxel model is generated using the shape-from-silhouette (SFS) technique. We perform SFS using a small number of cameras arranged sparsely to create voxel models of objects and then generate the required number of images from these models by volume rendering. This enables us to generate CGHs using MVIs with just a small number of sparsely arranged cameras. Moreover, the proposed method arrange CGHs using MVIs at arbitrary positions.

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“…1D) enriched by a normal map, plus a reflectance map derived directly from the matte. A complete model of the object can be constructed out of multiple range maps using well known techniques for scan alignment [18,19], merging [20,21], and surface simplification [22].…”

Section: Overviewmentioning

confidence: 99%

3D acquisition of mirroring objects using striped patterns

et al. 2005

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Objects with mirroring optical characteristics are left out of the scope of most 3D scanning methods. We present here a new automatic acquisition approach, shape-from-distortion, that focuses on that category of objects, requires only a still camera and a color monitor, and produces range scans (plus a normal and a reflectance map) of the target. Our technique consists of two steps: first, an improved environment matte is captured for the mirroring object, using the interference of patterns with different frequencies to obtain sub-pixel accuracy. Then, the matte is converted into a normal and a depth map by exploiting the self-coherence of a surface when integrating the normal map along different paths. The results show very high accuracy, capturing even smallest surface details. The acquired depth maps can be further processed using standard techniques to produce a complete 3D mesh of the object.

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Marching intersections: an efficient resampling algorithm for surface management

Cited by 27 publications

References 26 publications

Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing

Three-dimensional digitization of highly reflective and transparent objects using multi-wavelength range sensing

Computer-generated holograms using multiview images captured by a small number of sparsely arranged cameras

3D acquisition of mirroring objects using striped patterns

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