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Statistical solution of 3D transformation problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39900670" target="_blank" >RIV/00216275:25530/15:39900670 - isvavai.cz</a>

  • Result on the web

    <a href="http://wscg.zcu.cz/WSCG2015/CSRN-2503.pdf" target="_blank" >http://wscg.zcu.cz/WSCG2015/CSRN-2503.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical solution of 3D transformation problem

  • Original language description

    Obtaining the 3D model of an object is currently one of the most important issues that image processing is dealing with. Measurement of the points on 3D objects requires different scans from different positions in different coordinate systems. At our disposal are measured coordinates of an identical point, which can be obtained from a laser 3D scanner, depth sensor, or any motion input device as Microsoft Kinect. A point whose coordinates are known in both coordinate systems is called an identical point. Data transformation of identical points from one coordinate system to another coordinate system is therefore required. The aim of this contribution is to present a possible approach on how to estimate the unknown transformation parameters by regressionmodels in a special transformation problem. This transformation in its standard version has been derived under the assumption that non-negligible random errors occur at points of that coordinate system into which the transformation is pe

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Science Research Notes. CSRN 2503

  • ISBN

    978-80-86943-67-1

  • ISSN

    2464-4617

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    85-90

  • Publisher name

    Západočeská univerzita v Plzni

  • Place of publication

    Plzeň

  • Event location

    Plzeň

  • Event date

    Jun 8, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article