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Approximation surfaces for 3D data
Valachová, Alžbeta ; Novák, Jiří (referee) ; Procházková, Jana (advisor)
This bachelor thesis is dealing with approximation surfaces for 3D data using methods such as RANSAC, least square method and B-spline surface. Its goal is to study and program these methods. First, the methods are described and then the actual programs are analysed. In the end of the thesis, we compare all three methods using data from 3D scanning. Through this effort we can assess their positives and negatives.
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Least-squares fitting of multivariate data
Hrabec, Pavel ; Bednář, Josef (referee) ; Tomášek, Petr (advisor)
Thesis sumarizes basic theory required for inference of aproximation using the least squares method and aplicates this method on data obtained from engineering practice. Within thesis were created programs, in MATLAB enviroment, to solve this problem. MATLAB already contains several algorithms, wich are useful for solving this problem. Thesis includes comparsion of properties and test of those algorithms.
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Identification of 3D objects for Robotic Applications
Hujňák, Jaroslav ; Návrat, Aleš (referee) ; Matoušek, Radomil (advisor)
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Conformal Geometric Algebra (CGA) is proposed and tested for identification of spheres in Pointclouds created with 3D scanner. The speed, precision and scalability of this method is compared to traditional descriptors based method. It is proved that CGA maintains the same precision as the traditional method in much shorter time. The CGA based approach seems promising for the use in the future of robotic 3D vision for identification and localization of spheres.
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Determination of residual stresses from strain field around drilled hole
Horák, Richard ; Návrat, Tomáš (referee) ; Halabuk, Dávid (advisor)
The master’s thesis focuses on determining homogeneous residual stresses using the hole-drilling method. The optical method of digital image correlation (DIC) is used for measuring released strains. In order to evaluate residual stresses using the entire strain field, it is necessary to know the functional dependencies of calibration constants on this field. Therefore, a significant part of the master’s thesis includes finding these dependencies in relation to the dimensions of the drilled hole and coordinates of the measured points. Another part of the thesis deals with the evaluation of homogeneous residual stresses based on provided experimental data obtained from the measurement of uniaxially loaded steel flat bar with a through-hole. At the end of the thesis, a sensitivity analysis is performed, which examines the influence of input variables in the calculation algorithm in relation to computed residual stresses.
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Approximation surfaces for 3D data
Valachová, Alžbeta ; Novák, Jiří (referee) ; Procházková, Jana (advisor)
This bachelor thesis is dealing with approximation surfaces for 3D data using methods such as RANSAC, least square method and B-spline surface. Its goal is to study and program these methods. First, the methods are described and then the actual programs are analysed. In the end of the thesis, we compare all three methods using data from 3D scanning. Through this effort we can assess their positives and negatives.
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Identification of 3D objects for Robotic Applications
Hujňák, Jaroslav ; Návrat, Aleš (referee) ; Matoušek, Radomil (advisor)
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Conformal Geometric Algebra (CGA) is proposed and tested for identification of spheres in Pointclouds created with 3D scanner. The speed, precision and scalability of this method is compared to traditional descriptors based method. It is proved that CGA maintains the same precision as the traditional method in much shorter time. The CGA based approach seems promising for the use in the future of robotic 3D vision for identification and localization of spheres.
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Least-squares fitting of multivariate data
Hrabec, Pavel ; Bednář, Josef (referee) ; Tomášek, Petr (advisor)
Thesis sumarizes basic theory required for inference of aproximation using the least squares method and aplicates this method on data obtained from engineering practice. Within thesis were created programs, in MATLAB enviroment, to solve this problem. MATLAB already contains several algorithms, wich are useful for solving this problem. Thesis includes comparsion of properties and test of those algorithms.
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Women status in sampled developing economies and its measurement
Pospíšilová, Jana ; Šaroch, Stanislav (advisor) ; Jarošová, Eva (referee)
The goal of this bachelor thesis is to reflect the impact of certain factors on the women status. The status is characterized by SIGI index created by OECD. Selected factors are from particular topics of education, transparency and mainly microfinance. The work presents these factors, overview about thirty observed countries and consequently offers models based on the least squares method. These models test set of hypothesis supporting the thesis objective.
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