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We propose an algorithm for determining the actuating rotations and,
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title="Waste processing facility location problem by stochastic programming: Models and solutions",
booktitle="Advances in Intelligent Systems and Computing",
year="2018",
journal="Advances in Intelligent Systems and Computing",
volume="837",
number="1",
pages="167--179",
publisher="Springer Nature",
address="Switzerland",
doi="10.1007/978-3-319-97888-8\{_}15",
isbn="9783319978871",
issn="2194-5357",
url="https://link.springer.com/chapter/10.1007/978-3-319-97888-8_15"
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[nazev_en] => Waste processing facility location problem by stochastic programming: Models and solutions
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[popis] => The geometric algebra GAC offers the same efficiency for calculations
with arbitrary conic sections as provided by CGA for spheres.
We shall exploit these properties in image processing, particularly in
corner detection. Indeed, the point cluster will be approximated by a
conic section and, consequently, classified as points with ellipse–like or
hyperbola–like neighbourhood. Then, by means of eccentricity, we decide
whether the points form a corner.
[popis_orig] => The geometric algebra GAC offers the same efficiency for calculations
with arbitrary conic sections as provided by CGA for spheres.
We shall exploit these properties in image processing, particularly in
corner detection. Indeed, the point cluster will be approximated by a
conic section and, consequently, classified as points with ellipse–like or
hyperbola–like neighbourhood. Then, by means of eccentricity, we decide
whether the points form a corner.
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[citace_text] => HRDINA, J.; VAŠÍK, P.; NÁVRAT, A. GAC Application to Corner Detection Based on Eccentricity. In Advances in Computer Graphics. Lecture Notes in Computer Science. Switzerland: Springer Nature Switzerland AG 2019, 2019. p. 564-570. ISBN: 978-3-030-22513-1.
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[citace_rtf] =>
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author="Jaroslav {Hrdina} and Petr {Vašík} and Aleš {Návrat}",
title="GAC Application to Corner Detection Based on Eccentricity",
booktitle="Advances in Computer Graphics",
year="2019",
series="Lecture Notes in Computer Science",
number="11542",
pages="564--570",
publisher="Springer Nature Switzerland AG 2019",
address="Switzerland",
doi="10.1007/978-3-030-22514-8",
isbn="978-3-030-22513-1"
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[nazev_en] => GAC Application to Corner Detection Based on Eccentricity
[popis_en] => The geometric algebra GAC offers the same efficiency for calculations
with arbitrary conic sections as provided by CGA for spheres.
We shall exploit these properties in image processing, particularly in
corner detection. Indeed, the point cluster will be approximated by a
conic section and, consequently, classified as points with ellipse–like or
hyperbola–like neighbourhood. Then, by means of eccentricity, we decide
whether the points form a corner.
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[nazev] => Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra
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[duvernost_udaju_id] => S
[popis] => We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify stan dard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form
[popis_orig] => We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify stan dard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form
[klicova_slova] => Conformal geometric algebra; Region growing; Flat point
[klicova_slova_orig] => Conformal geometric algebra; Region growing; Flat point
[url] => https://doi.org/10.1007/978-3-030-22514-8 _ 56
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[citace_text] => HRDINA, J.; MATOUŠEK, R.; TICHÝ, R. Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra. In Advances in Computer Graphics. LNCS. Springer Nature Switzerland AG 2019: Springer, Cham, 2019. p. 564-570. ISBN: 978-3-030-22513-1.
[citace_html] => HRDINA, J.; MATOUŠEK, R.; TICHÝ, R. Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra. In Advances in Computer Graphics. LNCS. Springer Nature Switzerland AG 2019: Springer, Cham, 2019. p. 564-570. ISBN: 978-3-030-22513-1.
[citace_rtf] =>
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author="Jaroslav {Hrdina} and Radomil {Matoušek} and Radek {Tichý}",
title="Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra",
booktitle="Advances in Computer Graphics",
year="2019",
series="LNCS",
number="11542",
pages="564--570",
publisher="Springer, Cham",
address="Springer Nature Switzerland AG 2019",
doi="10.1007/978-3-030-22514-8\{_}56",
isbn="978-3-030-22513-1",
url="https://doi.org/10.1007/978-3-030-22514-8 _ 56"
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[nazev_en] => Colour Image Segmentation by Region Growing Based on Conformal Geometric Algebra
[popis_en] => We apply conformal geometric algebra (CGA) to classical algorithms for colour image segmentation. Particularly, we modify stan dard Prewitt quaternionic filter for edge detection and region growing segmentation procedure and use them simultaneously, which is only allowed by common CGA language, more precisely by the notion of flat point in normalised and unnormalised form
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[nazev] => Trident Snake Robot Motion Simulation in V-Rep
[nazev_orig] => Trident Snake Robot Motion Simulation in V-Rep
[duvernost_udaju_id] => S
[popis] => We present a simulation of a trident snake robot motion in two local control models, the original one and its nilpotent approximation. More precisely, we derive the control system from the kinematics of a trident snake robot, calculate its nilpotent approximation and compare these two models by simulating their local motion planning in software V-Rep.
[popis_orig] => We present a simulation of a trident snake robot motion in two local control models, the original one and its nilpotent approximation. More precisely, we derive the control system from the kinematics of a trident snake robot, calculate its nilpotent approximation and compare these two models by simulating their local motion planning in software V-Rep.
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[identifikator] => ISBN 978-3-030-14984-0
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[citace_text] => BYRTUS, R.; VECHETOVÁ, J. Trident Snake Robot Motion Simulation in V-Rep. In Modelling and Simulation for Autonomous Systems. Information Systems and Applications, incl. Internet/Web, and HCI. Switzerland: Springer International Publishing, 2019. p. 27-42. ISBN: 978-3-030-14984-0.
[citace_html] => BYRTUS, R.; VECHETOVÁ, J. Trident Snake Robot Motion Simulation in V-Rep. In Modelling and Simulation for Autonomous Systems. Information Systems and Applications, incl. Internet/Web, and HCI. Switzerland: Springer International Publishing, 2019. p. 27-42. ISBN: 978-3-030-14984-0.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT157494,
author="Roman {Byrtus} and Jana {Vechetová}",
title="Trident Snake Robot Motion Simulation in V-Rep",
booktitle="Modelling and Simulation for Autonomous Systems",
year="2019",
series="Information Systems and Applications, incl. Internet/Web, and HCI",
volume="11472",
number="1",
pages="27--42",
publisher="Springer International Publishing",
address="Switzerland",
doi="10.1007/978-3-030-14984-0\{_}3",
isbn="978-3-030-14984-0"
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[nazev_en] => Trident Snake Robot Motion Simulation in V-Rep
[popis_en] => We present a simulation of a trident snake robot motion in two local control models, the original one and its nilpotent approximation. More precisely, we derive the control system from the kinematics of a trident snake robot, calculate its nilpotent approximation and compare these two models by simulating their local motion planning in software V-Rep.
[klicova_slova_en] => Kinematics, Motion planning, Robots
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[nazev] => Conic Fitting in Geometric Algebra Setting
[nazev_orig] => Conic Fitting in Geometric Algebra Setting
[duvernost_udaju_id] => S
[popis] => We present an algorithm for a conic fitting based on a gener-alization of planar version of conformal geometric algebra to geometricalgebra for conics (GAC). We introduce a novel normalization condi-tion that follows naturally from this setting and which is invariant withrespect to rotations and scaling. Finally, we provide a comparison tostandard methods demonstrated on examples in MATLAB.
[popis_orig] => We present an algorithm for a conic fitting based on a gener-alization of planar version of conformal geometric algebra to geometricalgebra for conics (GAC). We introduce a novel normalization condi-tion that follows naturally from this setting and which is invariant withrespect to rotations and scaling. Finally, we provide a comparison tostandard methods demonstrated on examples in MATLAB.
[klicova_slova] => Conformal geometric algebra; Geometric algebra for conics; Clifford algebra; Conic fitting
[klicova_slova_orig] => Conformal geometric algebra; Geometric algebra for conics; Clifford algebra; Conic fitting
[url] => https://link.springer.com/article/10.1007%2Fs00006-019-0989-5
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[identifikator] => ISSN 0188-7009
[identifikator_popis] => ISSN - Advances in Applied Clifford Algebras (CH)
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[citace_text] => HRDINA, J.; NÁVRAT, A.; VAŠÍK, P. Conic Fitting in Geometric Algebra Setting. Advances in Applied Clifford Algebras, 2019, vol. 29, no. 4, p. 1-13. ISSN: 0188-7009.
[citace_html] => HRDINA, J.; NÁVRAT, A.; VAŠÍK, P. Conic Fitting in Geometric Algebra Setting. Advances in Applied Clifford Algebras, 2019, vol. 29, no. 4, p. 1-13. ISSN: 0188-7009.
[citace_rtf] =>
[citace_bibtex] => @article{BUT157838,
author="Jaroslav {Hrdina} and Aleš {Návrat} and Petr {Vašík}",
title="Conic Fitting in Geometric Algebra Setting",
journal="Advances in Applied Clifford Algebras",
year="2019",
volume="29",
number="4",
pages="1--13",
doi="10.1007/s00006-019-0989-5",
issn="0188-7009",
url="https://link.springer.com/article/10.1007%2Fs00006-019-0989-5"
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[year] => 2007
[id_vav] => 44837
)
[10] => Array
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[quotations] => SKULA, L.
[title] => Categories of semigroups with divisor theory
[typ] => PV
[year] => 2003
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)
[11] => Array
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[quotations] => PILCH, J.; HÉGR, E.; POKLUDA, J.; ŠITTNER, P.; BŘEZINA, T.
[title] => Model Stewartovy plošiny v provedení tripod
[typ] => AV
[year] => 2010
[id_vav] => 71837
)
[12] => Array
(
[quotations] => HOUŠKA, P., LOJEK, O., SINGULE, V., BŘEZINA, T.
[title] => CONTROLS AND SENSORIC SYSTEM THE MOBILE ROBOT OMR III
[typ] => PV
[year] => 2001
[id_vav] => 3907
)
[13] => Array
(
[quotations] => HOUŠKA, P., LOJEK, O., SINGULE, V., BŘEZINA, T.
[title] => Řídící a sensorický systém autonomního všesměrového robotu OMR III
[typ] => PV
[year] => 2001
[id_vav] => 3909
)
)
)