From Global to Local Statistical Shape Priors: Novel Methods to Obtain Accurate Recon... (Bog, Paperback / softback, Engelsk)
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From Global to Local Statistical Shape Priors: Novel Methods to Obtain Accurate Reconstruction Results with a Limited Amount of Training Shapes

(Bog, Paperback / softback, Engelsk)
Forfatter: Carsten Last
From Global to Local Statistical Shape Priors: Novel Methods to Obtain Accurate Reconstruction Results with a Limited Amount of Training Shapes
Forlag: Springer International Publishing AG

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The approach presented uses a local shape prior in each element of the underlying data domain and couples all local shape priors via smoothness constraints.

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Forlag Springer International Publishing AG
Forfatter Carsten Last
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgave Softcover reprint of the original 1st ed. 2017
Udgivelsesdato 21-07-2018
Første udgivelsesår 2018
Serie Studies in Systems, Decision and Control
Illustrationer 64 Illustrations, color; 20 Illustrations, black and white; XXI, 259 p. 84 illus., 64 illus. in color.
Originalsprog Switzerland
Sideantal 259
Indbinding Paperback / softback
Forlag Springer International Publishing AG
Sideoplysninger 259 pages, 64 Illustrations, color; 20 Illustrations, black and white; XXI, 259 p. 84 illus., 64 ill
Mål 235 x 155
ISBN-13 / EAN-13 9783319851693