A Laboratory for Pattern Recognition and Computer Vision Research

该合同将支持增强密歇根州立大学计算机科学系的模式识别和图像处理（PRIP）实验室。将建立一个现代化的分布式模式识别设施，包括四个图像处理/图形工作站、一个专用文件服务器和一个计算服务器、图像采集和图像输出设备、一个用于捕获3-D距离数据的激光测距仪、一个用于存档图像的光盘、一个带有信号处理板的LISP机器、以及几个软件开发工作站。该实验室将为以下研究项目提供环境：3 .三维目标识别特征提取与评价与目标模型构建；考察马尔科夫随机场模型在模式识别和计算机视觉中的作用；计算机视觉中感知分组问题的研究，4。计算机视觉应用中并行编程环境的发展，5。模式识别和图像处理算法在土地利用规划遥感中的应用，土壤科学家对根系的测量，磁共振脑扫描中的结构检测，以及流体图像序列的分析。该拨款还将支持人工智能/基于知识的系统研究小组的发展，该小组将与PRIP实验室合作研究物体识别问题。

This award will support the enhancement of the Pattern Recognition and Image Processing (PRIP) Laboratory of the Department of Computer Science at Michigan State University. A modern, distributed, pattern recognition facility will be established, consisting of four image processing/graphics workstations, a dedicated file server and a computation server, image acquisition and image output devices, a laser range finder for capturing 3-D range data, an optical disk for archiving images, a LISP machine with a signal processing board, and several workstations for software development. The PRIP Laboratory will provide the environment for the following research projects: 1. extraction and evaluation of features for recognition of 3-D objects and construction of object models, 2. examination of the role of Markov Random Field models in pattern recognition and computer vision, 3. investigation of the perceptual grouping problem in computer vision, 4. development of parallel programming environments for computer vision applications, 5. application of pattern recognition and image processing algorithms in remote sensing for land use planning, measurement of root systems by soil scientists, detection of structures in magnetic resonance brain scans, and the analysis of sequences of fluid images. The grant will also support development of the Artificial Intelligence/Knowledge Based Systems research group, which will interact with the PRIP Laboratory in studying the object recognition problem.