MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY

There is a fundamental relationship between projective geometry and the perspective imaging geometry of a pinhole camera. Projective scales have been used to measure within images from the beginnings of photogrammetry, mostly the cross-ratio on a straight line. However, there are also projective fra...

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Main Author: B. Erdnüß
Format: Article
Language:English
Published: Copernicus Publications 2018-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1/141/2018/isprs-archives-XLII-1-141-2018.pdf
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spelling doaj-0464c64bbcaf46b1958dd9d6fdb6d1202020-11-24T23:24:03ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-09-01XLII-114114810.5194/isprs-archives-XLII-1-141-2018MEASURING IN IMAGES WITH PROJECTIVE GEOMETRYB. Erdnüß0B. Erdnüß1Institute of Photogrammetry and Remote Sensing, KIT, Karlsruhe, GermanyFraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, GermanyThere is a fundamental relationship between projective geometry and the perspective imaging geometry of a pinhole camera. Projective scales have been used to measure within images from the beginnings of photogrammetry, mostly the cross-ratio on a straight line. However, there are also projective frames in the plane with interesting connections to affine and projective geometry in three dimensional space that can be utilized for photogrammetry. This article introduces an invariant on the projective plane, describes its relation to affine geometry, and how to use it to reduce the complexity of projective transformations. It describes how the invariant can be use to measure on projectively distorted planes in images and shows applications to this in 3D reconstruction. The article follows two central ideas. One is to measure coordinates in an image relatively to each other to gain as much invariance of the viewport as possible. The other is to use the remaining variance to determine the 3D structure of the scene and to locate the camera centers. For this, the images are projected onto a common plane in the scene. 3D structure not on the plane occludes different parts of the plane in the images. From this, the position of the cameras and the 3D structure are obtained.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1/141/2018/isprs-archives-XLII-1-141-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author B. Erdnüß
B. Erdnüß
spellingShingle B. Erdnüß
B. Erdnüß
MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet B. Erdnüß
B. Erdnüß
author_sort B. Erdnüß
title MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY
title_short MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY
title_full MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY
title_fullStr MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY
title_full_unstemmed MEASURING IN IMAGES WITH PROJECTIVE GEOMETRY
title_sort measuring in images with projective geometry
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2018-09-01
description There is a fundamental relationship between projective geometry and the perspective imaging geometry of a pinhole camera. Projective scales have been used to measure within images from the beginnings of photogrammetry, mostly the cross-ratio on a straight line. However, there are also projective frames in the plane with interesting connections to affine and projective geometry in three dimensional space that can be utilized for photogrammetry. This article introduces an invariant on the projective plane, describes its relation to affine geometry, and how to use it to reduce the complexity of projective transformations. It describes how the invariant can be use to measure on projectively distorted planes in images and shows applications to this in 3D reconstruction. The article follows two central ideas. One is to measure coordinates in an image relatively to each other to gain as much invariance of the viewport as possible. The other is to use the remaining variance to determine the 3D structure of the scene and to locate the camera centers. For this, the images are projected onto a common plane in the scene. 3D structure not on the plane occludes different parts of the plane in the images. From this, the position of the cameras and the 3D structure are obtained.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1/141/2018/isprs-archives-XLII-1-141-2018.pdf
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