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• W3139494194 abstract "Surface measurement of complex geometric objects by means of optical techniques, such as laser scanning or photogrammetry, requires multiple views from various stations. The data sets of the views, e.g. point clouds and photogrammetric images, are given in individual coordinatesystems.Foracompleterepresentationoftheobjects,theviewshavetobetransformedintoonecommoncoordinatesystem.This task is denoted as registration and involves an estimation of the transformation parameters between different coordinate systems. In this paper, a concept for a pairwise feature based registration of hybrid laser scanner data sets is proposed. The concept includes the feature extraction and description by simultaneous consideration of laser scanner data and photogrammetric images, as well as the recognition of consistent feature correspondences. The features are viewpoint invariant and are described with a rectified image patch on planar surface geometry in object space. Two different data sets are used to demonstrate that the proposed concept for feature extraction, feature description and correspondence search is successful to register hybrid laser scanner data sets with a high level of automation. © 2006 International Society for Photogrammetry andRemote Sensing, Inc. (ISPRS). Published byElsevier B.V. All rights reserved." @default.
• W3139494194 created "2021-03-29" @default.
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• W3139494194 date "2007-06-01" @default.
• W3139494194 modified "2023-09-27" @default.
• W3139494194 title "A concept for feature based data registration by simultaneous consideration of laser scanner data and photogrammetric images" @default.
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