Christmas tree case study: computed tomography as a tool for mastering complex real world objects with applications in computer graphics

Kanitsar,; Theussl,; Mroz,; Sramek,; Bartroli,; Csebfalvi,; Hladuvka,; Fleischmann, Dominik; Knapp,; Wegenkittl,; Felkel,; Rottger,; Guthe,; Purgathofer,; Groller,

doi:10.1109/visual.2002.1183812

Cited by 12 publications

(9 citation statements)

References 9 publications

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“…This is the case if the wavelength of the illumination is sufficiently high, that is, in the case of X‐ray illumination, and when the refractive index of the medium surrounding the refractive object is the same as the object's refractive index. X‐ray scanning of refractive objects is straight forward [KTM*02]. Although the authors do not concentrate on refractive object scanning, computed tomography reconstruction of glass objects is possible as well, as long as no metal inclusions are present inside the object.…”

Section: Refractive Surface Acquisitionmentioning

confidence: 99%

Transparent and Specular Object Reconstruction

Ihrke

Kutulakos²,

Lensch³

et al. 2010

Computer Graphics Forum

193

154

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This state of the art report covers reconstruction methods for transparent and specular objects or phenomena. While the 3D acquisition of opaque surfaces with lambertian reflectance is a well-studied problem, transparent, refractive, specular and potentially dynamic scenes pose challenging problems for acquisition systems. This report reviews and categorizes the literature in this field. Despite tremendous interest in object digitization, the acquisition of digital models of transparent or specular objects is far from being a solved problem. On the other hand, real-world data is in high demand for applications such as object modeling, preservation of historic artifacts and as input to data-driven modeling techniques. With this report we aim at providing a reference for and an introduction to the field of transparent and specular object reconstruction. We describe acquisition approaches for different classes of objects. Transparent objects/phenomena that do not change the straight ray geometry can be found foremost in natural phenomena. Refraction effects are usually small and can be considered negligible for these objects. Phenomena as diverse as fire, smoke, and interstellar nebulae can be modeled using a straight ray model of image formation. Refractive and specular surfaces on the other hand change the straight rays into usually piecewise linear ray paths, adding additional complexity to the reconstruction problem. Translucent objects exhibit significant sub-surface scattering effects rendering traditional acquisition approaches unstable. Different classes of techniques have been developed to deal with these problems and good reconstruction results can be achieved with current state-of-the-art techniques. However, the approaches are still specialized and targeted at very specific object classes. We classify the existing literature and hope to provide an entry point to this exiting field.

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Section: Refractive Surface Acquisitionmentioning

confidence: 99%

Transparent and Specular Object Reconstruction

Ihrke

Kutulakos²,

Lensch³

et al. 2010

Computer Graphics Forum

193

154

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“…The test data set was the X-mas Tree [Kanitsar et al 2002] of size 256 3 . The rendering performance was tested at two different projection slice resolutions, i.e., 256 2 and 512 2 pixels.…”

Section: Resultsmentioning

confidence: 99%

GPU-based frequency domain volume rendering

Viola

Kanitsar

Gröller

2004

Proceedings of the 20th Spring Conference on Computer Graphics

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Frequency domain volume rendering (FVR) is a volume rendering technique with lower computational complexity as compared to other techniques. In this paper the FVR algorithm is accelerated by factor of 17 by mapping the rendering stage to the GPU. The overall hardware-accelerated pipeline is discussed and the changes according to previous work are pointed out. The three-dimensional transformation into frequency domain is done in a pre-processing step. The rendering step is computed completely on the GPU. First the projection slice is extracted. Four different interpolation schemes are used for resampling the slice from the data represented by a 3D texture. The extracted slice is transformed back into the spatial domain using the inverse Fast Fourier or Fast Hartley Transform. The rendering stage is implemented through shader programs running on programmable graphics hardware achieving highly interactive framerates.

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“…Such skeletons are also efficient to represent the structure and the geometric shape of real trees for many plant modeling and visualization applications [31]. Besides, the method, and more precisely the hierarchical skeleton, can contribute to fast tree measurements and geometry reconstructions from volume data, both known to be difficult [32].…”

Section: Discussionmentioning

confidence: 99%

Volume Decomposition for Hierarchical Skeletonization

Zhang¹,

Liu²,

Jaeger

et al. 2009

IJVR

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Hierarchical skeletons and shape components are important shape features, and they are useful for shape description and shape understanding. Techniques to extract shape components and hierarchical skeletons from volume data are analyzed in this paper based on multiple distance transformations. The application of volume decomposition for the extraction of hierarchical skeletons is emphasized and specified here. This work includes an establishment of the hierarchical structure of the object volume, a decomposition of the volume into simple sub-volumes, an extraction of compact skeleton segments corresponding to each independent sub-volume, and a connection of these skeleton segments into a hierarchical structure reflecting the organization the initial data

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Christmas tree case study: computed tomography as a tool for mastering complex real world objects with applications in computer graphics

Abstract: Figure 1: A short story: Before Christmas -the 25 th -left for holidays -the sad end -Christmas tree in heaven.

Cited by 12 publications

References 9 publications

Transparent and Specular Object Reconstruction

Transparent and Specular Object Reconstruction

GPU-based frequency domain volume rendering

Volume Decomposition for Hierarchical Skeletonization

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