<rss version="2.0">
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<title>The MIDAS journal</title>
<link>http://insight-journal.org</link>
<description>The MIDAS journal</description>
<copyright>Copyright insight-journal.org</copyright>
<image>
<url>http://insight-journal.org/images/IJLogo2.gif</url>
<title>insight-journal.org</title>
<link>http://insight-journal.org</link>
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<pubDate>Thu, 18 Mar 2010 23:51:56 -0400</pubDate>
<lastBuildDate>Thu, 18 Mar 2010 23:51:56 -0400</lastBuildDate><item>
<title>FFT based convolution (Lehmann G.) [revision #3]</title>
<link>http://insight-journal.org//browse/publication/717</link>
<description>The Fourier transform of the convolution of two images is equal to the product of their
Fourier transform. With this definition, it is possible to create a convolution filter
based on the Fast Fourier Transform (FFT). The interesting complexity characteristics of
this transform gives a very efficient convolution filter for large kernel images.

This paper provides such a filter, as well as a detailed description of the implementation
choices and a performance comparison with the "simple" itk::ConvolutionImageFilter.
</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>A Leica PTX Reader for VTK (Doria D.) [revision #2]</title>
<link>http://insight-journal.org//browse/publication/712</link>
<description>Leica LiDAR scanners output points in the PTX file format. It is often useful to convert this format to a standard VTK point cloud or mesh format before processing. We propose a new class, vtkPTXReader, to provide this functionality.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>Using and Visualizing Projective Cameras in VTK (Doria D.) [revision #2]</title>
<link>http://insight-journal.org//browse/publication/715</link>
<description>This document presents a set of classes (vtkPhysicalCamera, vtkImageCamera) to enable a camera and an image acquired by that camera to be visualized in a 3D scene. Two situations where one would want to visualize camaras with associated images are range data analysis and 3D scene reconstruction from images (structure from motion). The classes presented in this paper are implemented using tools from VTK.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>A Voodoo Reader and Viewer for VTK (Doria D.) [revision #3]</title>
<link>http://insight-journal.org//browse/publication/716</link>
<description>Voodoo is a popular, free structure from motion software package. It takes several, ordered images as input and computes the camera parameters of each image as well as a point cloud of an estimate of the 3D structure of the scene. This document presents a set of classes (vtkCalibratedImageCollection, vtkCalibratedImageCollectionReader, vtkVoodooReader) to enable a set of images and their associated 3D scene to be viewed in the same space. These classes are implemented using tools from VTK.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>Point Set Surface Reconstruction for VTK (Doria D.) [revision #3]</title>
<link>http://insight-journal.org//browse/publication/713</link>
<description>This document presents a set of classes (vtkPointSetSurfaceReconstruction, vtkVoxelizePolyData) to produce a surface from an oriented point set. These classes are implemented as VTK filters. A Paraview plugin interface is provided to allow extremely easy experimentation with the new functionality. We propose these classes as an addition to the Visualization Toolkit.</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>FFT based convolution (Lehmann G.) [revision #2]</title>
<link>http://insight-journal.org//browse/publication/717</link>
<description>The Fourier transform of the convolution of two images is equal to the product of their
Fourier transform. With this definition, it is possible to create a convolution filter
based on the Fast Fourier Transform (FFT). The interesting complexity characteristics of
this transform gives a very efficient convolution filter for large kernel images.

This paper provides such a filter, as well as a detailed description of the implementation
choices and a performance comparison with the "simple" itk::ConvolutionImageFilter.
</description>
<pubDate>Wed, 31 Dec 1969 19:00:00 -0500</pubDate>
</item>
<item>
<title>Stratified Mesh Sampling for VTK (Doria D.)</title>
<link>http://insight-journal.org//browse/publication/719</link>
<description>This document presents an implementation of a stratified mesh sampling algorithm in the VTK framework. This code was adapted directly from the original implementation by Diego Nehab, with permission. We present a class, vtkStratifiedSampling, which uniformly samples a mesh. A Paraview plugin interface is provided to allow extremely easy experimentation with the new functionality. We propose these classes as an addition to the Visualization Toolkit.</description>
<pubDate>Fri, 03 Dec 2010 00:00:00 -0500</pubDate>
</item>
<item>
<title>Poisson Surface Reconstruction for VTK (Doria D., Gelas A.)</title>
<link>http://insight-journal.org//browse/publication/718</link>
<description>This document presents an implementation of the Poission surface reconstruction algorithm in the VTK framework. (This code was adapted directly from the original implementation by Misha Kazhdan, with permission). We present a class, vtkPoissonReconstruction, which produces a surface from an oriented point set. A Paraview plugin interface is provided to allow extremely easy experimentation with the new functionality. We propose these classes as an addition to the Visualization Toolkit.</description>
<pubDate>Fri, 03 Dec 2010 00:00:00 -0500</pubDate>
</item>
<item>
<title>A Voodoo Reader and Viewer for VTK (Doria D.) [revision #2]</title>
<link>http://insight-journal.org//browse/publication/716</link>
<description>Voodoo is a popular, free structure from motion software package. It takes several, ordered images as input and computes the camera parameters of each image as well as a point cloud of an estimate of the 3D structure of the scene. This document presents a set of classes (vtkCalibratedImageCollection, vtkCalibratedImageCollectionReader, vtkVoodooReader) to enable a set of images and their associated 3D scene to be viewed in the same space. These classes are implemented using tools from VTK.</description>
<pubDate>Sun, 03 Oct 2010 00:00:00 -0400</pubDate>
</item>
<item>
<title>FFT based convolution (Lehmann G.)</title>
<link>http://insight-journal.org//browse/publication/717</link>
<description>The Fourier transform of the convolution of two images is equal to the product of their
Fourier transform. With this definition, it is possible to create a convolution filter
based on the Fast Fourier Transform (FFT). The interesting complexity characteristics of
this transform gives a very efficient convolution filter for large kernel images.

This paper provides such a filter, as well as a detailed description of the implementation
choices and a performance comparison with the "simple" itk::ConvolutionImageFilter.
</description>
<pubDate>Fri, 03 Sep 2010 00:00:00 -0400</pubDate>
</item>
<item>
<title>Point Set Surface Reconstruction for VTK (Doria D.) [revision #2]</title>
<link>http://insight-journal.org//browse/publication/713</link>
<description>This document presents a set of classes (vtkPointSetSurfaceReconstruction, vtkVoxelizePolyData) to produce a surface from an oriented point set. These classes are implemented as VTK filters. A Paraview plugin interface is provided to allow extremely easy experimentation with the new functionality. We propose these classes as an addition to the Visualization Toolkit.</description>
<pubDate>Wed, 03 Mar 2010 00:00:00 -0500</pubDate>
</item>
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