Simultaneous registration of multiple views of a 3D object

Helmut Pottmann; Stefan Leopoldseder; Michael Hofer

Simultaneous registration of multiple views of a 3D object

Helmut Pottmann, Stefan Leopoldseder, Michael Hofer

Applied Mathematics and Computational Science

Research output: Contribution to conference › Paper › peer-review

34 Scopus citations

Abstract

In the reconstruction process of geometric objects from several three-dimensional images (clouds of measurement points) it is crucial to align the point sets of the different views, such that errors in the overlapping regions are minimized. We present an iterative algorithm which simultaneously registers all 3D image views. It can also be used for the solution of related positioning problems such as the registration of one or several measurement point clouds of an object to a CAD model of that object. Our method is based on a first order kinematical analysis and on local quadratic approximants of the squared distance function to geometric objects.

Original language	English (US)
State	Published - 2002
Event	2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 - Graz, Austria Duration: Sep 9 2002 → Sep 13 2002

Conference

Conference	2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002
Country/Territory	Austria
City	Graz
Period	09/9/02 → 09/13/02

Keywords

CAD
Geometry
Inspection
Matching
Registration
Three-dimensional data

ASJC Scopus subject areas

Information Systems
Geography, Planning and Development

Cite this

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title = "Simultaneous registration of multiple views of a 3D object",

abstract = "In the reconstruction process of geometric objects from several three-dimensional images (clouds of measurement points) it is crucial to align the point sets of the different views, such that errors in the overlapping regions are minimized. We present an iterative algorithm which simultaneously registers all 3D image views. It can also be used for the solution of related positioning problems such as the registration of one or several measurement point clouds of an object to a CAD model of that object. Our method is based on a first order kinematical analysis and on local quadratic approximants of the squared distance function to geometric objects.",

keywords = "CAD, Geometry, Inspection, Matching, Registration, Three-dimensional data",

author = "Helmut Pottmann and Stefan Leopoldseder and Michael Hofer",

note = "Publisher Copyright: {\textcopyright} 2002 International Society for Photogrammetry and Remote Sensing. All rights reserved.; 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002 ; Conference date: 09-09-2002 Through 13-09-2002",

year = "2002",

language = "English (US)",

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TY - CONF

T1 - Simultaneous registration of multiple views of a 3D object

AU - Pottmann, Helmut

AU - Leopoldseder, Stefan

AU - Hofer, Michael

PY - 2002

Y1 - 2002

N2 - In the reconstruction process of geometric objects from several three-dimensional images (clouds of measurement points) it is crucial to align the point sets of the different views, such that errors in the overlapping regions are minimized. We present an iterative algorithm which simultaneously registers all 3D image views. It can also be used for the solution of related positioning problems such as the registration of one or several measurement point clouds of an object to a CAD model of that object. Our method is based on a first order kinematical analysis and on local quadratic approximants of the squared distance function to geometric objects.

AB - In the reconstruction process of geometric objects from several three-dimensional images (clouds of measurement points) it is crucial to align the point sets of the different views, such that errors in the overlapping regions are minimized. We present an iterative algorithm which simultaneously registers all 3D image views. It can also be used for the solution of related positioning problems such as the registration of one or several measurement point clouds of an object to a CAD model of that object. Our method is based on a first order kinematical analysis and on local quadratic approximants of the squared distance function to geometric objects.

KW - CAD

KW - Geometry

KW - Inspection

KW - Matching

KW - Registration

KW - Three-dimensional data

UR - http://www.scopus.com/inward/record.url?scp=3242656692&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:3242656692

T2 - 2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002

Y2 - 9 September 2002 through 13 September 2002

ER -

Simultaneous registration of multiple views of a 3D object

Abstract

Conference

Keywords

ASJC Scopus subject areas

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