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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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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
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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
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