Presidential Faculty Fellow: Three-Dimensional Image Processing

该计划有两个主要组成部分：图像处理的研究和教学，都侧重于三维数据。 研究部分分为两个主要的推力：1。从三维数据集估计三维运动的新方法的发展。 第一个目标涉及优化数据采集方法，给出运动的先验随机描述，并假设使用一定的光流方法。 第二个目标探讨了三维矢量断层扫描的理论和实现使用磁共振扫描仪。 2.从三维数据集估计形状。 本主题重点介绍活动表面方法：新的活动表面的定义，算法及其收敛特性，以及使用活动表面方法进行三维图像配准。 该补助金的教学部分有两个主要目标：1.发展一个最先进的信号和图像处理实验室，2。开发新的图像重建课程和教材。 总的目标是提供一个全面的教育计划在尖端的信号和图像处理

This program has two major components: research and teaching in image processing, both having a focus on three-dimensional data. The research component is divided into two major thrusts: 1. the development of new methods for estimating motion in three dimensions from three-dimensional data sets. The first aim involves optimizing data acquisition methods given a prior stochastic description of the motion and assuming the use of a certain optical flow method. The second aim explores the theory of three-dimensional vector tomography and its implementation using a magnetic resonance scanner. 2. The estimation of shape from three- dimensional data sets. This topic focuses on active surface methods: the definition of new active surfaces, the algorithms and their convergence properties, and the use of active surface methods for 3-D image registration. The teaching component of this grant has two main objectives: 1. to develop a state-of-the-art signal and image processing laboratory, and, 2. to develop new courses and textbooks on image reconstruction. The overall goal is to provide a comprehensive educational program at the cutting edge of signal and image processing