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Showing papers on "3D reconstruction published in 1985"


Journal ArticleDOI
TL;DR: A new technique that uses photogrammetry and computer graphics for the 3D display of cerebral blood vessels provides anatomic images for diagnosis and treatment planning.
Abstract: A new technique that uses photogrammetry and computer graphics for the 3D display of cerebral blood vessels provides anatomic images for diagnosis and treatment planning.

65 citations



Journal ArticleDOI
TL;DR: In its new and revised form the reconstruction algorithm allows considerable flexibility, and many different reconstructions can be made and compared, and both its speed and accuracy are improved.

18 citations


Book ChapterDOI
01 Jan 1985
TL;DR: In this article, the authors developed an original method based on an approximated evaluation of the 3D Radon Transform and on the use of its inversion formula to accelerate 3D acquisition devices.
Abstract: In order to promote 3D display techniques it is necessary to accelerate 3D acquisition devices. One solution is to use a 2D X-ray detector. In that case the acquisition procedure can be depicted by the divergent beam transform. For a circular trajectory near of the object, the slice by slice reconstruction is no more accurate. It is necessary to use a 3D reconstruction algorithm. This paper develops an original method based on an approximated evaluation of the 3D Radon Transform and on the use of its inversion formula.

9 citations


Proceedings Article
18 Aug 1985
TL;DR: In this article, it is shown that it is frequently possible to structure the problem as that of recovering depth from a stereo pair consisting of a conventionial perspective image (the original image) and an orthographic image(the virtual image).
Abstract: A single 2-D image is an ambiguom representation of the 3-D world many different scenes could have produced the same image - yet the human visual system is extremely successful at recovering a qualitatively correct depth model from this type of representation. Workers in the field of computational vision have devised many distinct schemes that attempt to duplicate this ability of human vision; these schemes are collectively called "shape from...." methods (e.g., shape from shading, shape from texture, shape from contour). In this paper we argue that the distinct assumptions employed by each of these different schemes must be equivalent to providing a second (virtual) image of the original scene, and that all of these different approaches can be translated into a conventional stereo formalism. In particular, we show that it is frequently possible to structure the problem as that of recovering depth from a stereo pair consisting of a conventionial perspective image (the original image) and an orthographic image (the virtual image). We provide a new algorithm of the form required to accomplish this type of stereo reconstruction task.