How to localize 3D-views in space?

Max Planck Research Group, Institute of Optics Information and Photonics, University of Erlangen-Nuremberg

kschoen@physik.uni-erlangen.de

Abstract

A full 360° virtual 3D-view of an object is commonly put together from many different overlapping 3D-measurements. The task of putting this puzzle automatically together (“coarse registration”), is still a great challenge - although a child can do it. How does our brain manage the coarse registration? Obviously, we look for areas or points with big “saliency”, points that are eye-catching. We introduce an information theoretical concept, to find and mark those “eye-catching” points. The concept uses “pragmatic information”, which tells us, how useful the information for the specific task is. This pragmatic information allows a quantitative judgement about the value of different eye-catching points, for the registration of the data. The concept is implemented and we demonstrate its ability to reliably register 3D-views of a wide range of objects, within a few seconds.

Keywords

3D-Metrology Theoretical Foundations Image Processing
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@inproceedings{dgao106-a7, title = {How to localize 3D-views in space?}, author = {N. Schön, G. Häusler}, booktitle = {DGaO-Proceedings, 106. Jahrestagung}, year = {2005}, publisher = {Deutsche Gesellschaft für angewandte Optik e.V.}, issn = {1614-8436}, note = {Vortrag A7} }
106. Jahrestagung der DGaO · Wrocław · 2005