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100%: Luciano Silva;Olga R P Bellon;Kim L. Boyer: Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (ISBN: 9789812563125) auch als eBook.Nur diese Ausgabe anzeigen…
91%: Silva, Luciano; Bellon, Olga R. P. and Boyer, Kim L.: Robust Range Image Registration Using Genetic Algorithms the Surface Interpenetration Measure (Series in Machine Perception Artificial Intelligence) (ISBN: 9789812561084) 2004, World Scientific Publishing Company, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure
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Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (Series in Machine Perception and Artificial Intelligence) (2004)
EN HC USISBN: 9789812561084 bzw. 9812561080, in Englisch, 164 Seiten, World Scientific Pub Co Inc, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Harold'sBooks.
This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling. Hardcover, Label: World Scientific Pub Co Inc, World Scientific Pub Co Inc, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co Inc, Verkaufsrang: 10215378.
Von Händler/Antiquariat, Harold'sBooks.
This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling. Hardcover, Label: World Scientific Pub Co Inc, World Scientific Pub Co Inc, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co Inc, Verkaufsrang: 10215378.
2
Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (Series in Machine Perception and Artificial Intelligence) (2004)
EN HC NWISBN: 9789812561084 bzw. 9812561080, in Englisch, 164 Seiten, World Scientific Pub Co Inc, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Ed Lipinski.
This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling. Hardcover, Label: World Scientific Pub Co Inc, World Scientific Pub Co Inc, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co Inc, Verkaufsrang: 11775891.
Von Händler/Antiquariat, Ed Lipinski.
This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling. Hardcover, Label: World Scientific Pub Co Inc, World Scientific Pub Co Inc, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co Inc, Verkaufsrang: 11775891.
3
Robust Range Image Registration Using Genetic Algorithms And The Surface Interpenetration Measure (Series in Machine Perception and Artificial Intelligence) (2004)
EN HC USISBN: 9789812561084 bzw. 9812561080, in Englisch, 164 Seiten, World Scientific Pub Co Inc, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Harold'sBooks.
This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling. Hardcover, Label: World Scientific Pub Co Inc, World Scientific Pub Co Inc, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co Inc, Verkaufsrang: 11775891.
Von Händler/Antiquariat, Harold'sBooks.
This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, onto a solid mathematical footing. The SIM is shown to be superior to mean squared error (i.e. more sensitive to fine scale changes) in controlling the final stages of the alignment process. The authors go on to combine the SIM with Genetic Algorithms (GAs) to develop a robust approach for range image registration. The results confirm that this technique achieves precise surface registration with no need for prealignment, as opposed to methods based on the Iterative Closest Point (ICP) algorithm, the most popular to date. Thorough experimental results including an extensive comparative study are presented and enhanced GA-based approaches to improve the registration still further are proposed. The authors also develop a global multiview registration technique using the GA-based approach. The results show considerable promise in terms of accuracy for 3D modeling. Hardcover, Label: World Scientific Pub Co Inc, World Scientific Pub Co Inc, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co Inc, Verkaufsrang: 11775891.
4
Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure
EN NW EBISBN: 9789812561084 bzw. 9812561080, in Englisch, World Scientific Publishing Company, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, E-Book zum download.
Computers, This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned.
Computers, This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned.
5
Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure (Machine Perception and Artificial Intelligence) (2004)
EN HC NWISBN: 9789812561084 bzw. 9812561080, in Englisch, 164 Seiten, World Scientific Pub Co (, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen.
Von Händler/Antiquariat, ---SuperBookDeals---.
Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, O... Gebundene Ausgabe, Label: World Scientific Pub Co (, World Scientific Pub Co (, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co (, Verkaufsrang: 3077318.
Von Händler/Antiquariat, ---SuperBookDeals---.
Robust Range Image Registration Using Genetic Algorithms and the Surface Interpenetration Measure This book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned. To this end, a novel effective evaluation metric for registration, the Surface Interpenetration Measure (SIM) is defined. This measure quantifies the interleaving of two surfaces as their alignment is refined, putting the qualitative evaluation of "splotchiness," often used in reference to renderings of the aligned surfaces, O... Gebundene Ausgabe, Label: World Scientific Pub Co (, World Scientific Pub Co (, Produktgruppe: Book, Publiziert: 2004-12-31, Studio: World Scientific Pub Co (, Verkaufsrang: 3077318.
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