From Global to Local Statistical Shape Priors: Novel Methods to Obtain Accurate Reconstruction Results with a Limited Amount of Training Shapes
Author:   Carsten Last
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   98
ISBN:  

9783319535074


Pages:   259
Publication Date:   21 March 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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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


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Author:   Carsten Last
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   98
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   5.502kg
ISBN:  

9783319535074


ISBN 10:   3319535072
Pages:   259
Publication Date:   21 March 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Basics.- Statistical Shape Models (SSMs).- A Locally Deformable Statistical Shape Model (LDSSM).- Evaluation of the Locally Deformable Statistical Shape Model.- Global-To-Local Shape Priors for Variational Level Set Methods.- Evaluation of the Global-To-Local Variational Formulation.- Conclusion and Outlook.

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Author Information

Carsten Last received his diploma degree in computer and communications systems engineering (with distinction) from TU Braunschweig, Germany, in 2009. During his studies he worked as a student assistant in the area of speech enhancement at the Institute for Communications Technology at TU Braunschweig. From 2009 to 2015 he was a research assistant and PhD student at the Institute for Robotics and Process Control at TU Braunschweig, from which he received his doctorate degree in computer science in 2016 (summa cum laude). His research focused mainly on the areas of medical image processing and computer vision. Since 2015, he is working as a research engineer at Volkswagen AG in the area of autonomous driving.

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