Statistical solution of 3D transformation problem

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

Statistical solution of 3D transformation problem

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Statistical solution of 3D transformation problem

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computer Science Research Notes. CSRN 2503

ISBN

978-80-86943-67-1

ISSN

2464-4617

e-ISSN

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Počet stran výsledku

6

Strana od-do

85-90

Název nakladatele

Západočeská univerzita v Plzni

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

8. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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