From Global to Local Statistical Shape Priors: Novel Methods to Obtain Accurate Reconstruction Results with a Limited Amount of Training Shapes
暫譯: 從全球到地方的統計形狀先驗:以有限的訓練形狀獲得準確重建結果的新方法

Last, Carsten

  • 出版商: Springer
  • 出版日期: 2018-07-21
  • 售價: $4,600
  • 貴賓價: 9.5$4,370
  • 語言: 英文
  • 頁數: 259
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3319851691
  • ISBN-13: 9783319851693
  • 海外代購書籍(需單獨結帳)

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商品描述

This book proposes a new approach to handle the problem of limited training data. Common approaches to cope with this problem are to model the shape variability independently across predefined segments or to allow artificial shape variations that cannot be explained through the training data, both of which have their drawbacks. 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. The book provides a sound mathematical foundation in order to embed this new shape prior formulation into the well-known variational image segmentation framework. The new segmentation approach so obtained allows accurate reconstruction of even complex object classes with only a few training shapes at hand.

商品描述(中文翻譯)

本書提出了一種新的方法來處理訓練數據有限的問題。應對這一問題的常見方法是獨立地對預定義區段的形狀變異性進行建模,或允許無法通過訓練數據解釋的人工形狀變化,這兩者都有其缺點。本書所提出的方法在基礎數據領域的每個元素中使用局部形狀先驗,並通過平滑性約束將所有局部形狀先驗耦合在一起。本書提供了堅實的數學基礎,以便將這種新的形狀先驗公式嵌入到著名的變分圖像分割框架中。由此獲得的新分割方法能夠在僅有少量訓練形狀的情況下,準確重建甚至複雜的物體類別。

作者簡介

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.

作者簡介(中文翻譯)

卡斯滕·拉斯特(Carsten Last)於2009年在德國布倫瑞克工業大學(TU Braunschweig)獲得計算機與通信系統工程的學位(優異成績)。在學期間,他在布倫瑞克工業大學通信技術研究所擔任語音增強領域的學生助理。從2009年到2015年,他在布倫瑞克工業大學機器人與過程控制研究所擔任研究助理及博士生,並於2016年獲得計算機科學博士學位(優等)。他的研究主要集中在醫學影像處理和計算機視覺領域。自2015年以來,他在大眾汽車股份公司(Volkswagen AG)擔任研究工程師,專注於自動駕駛領域。