Introduction

The goal of Computer Vision is to make computers understand and interpret visual information. Computer-vision systems bring together imaging devices, computers, and sophisticated algorithms for solving problems in areas such as industrial inspection, medicine, document analysis, autonomous navigation, and remote sensing.

The Computer Vision Laboratory at Penn State is pursuing a wide range of applied and theoretical problems across many areas. Faculty and students from several departments within the College of Engineering make up the laboratory. Research projects span a broad range of multidisciplinary topics, such as autonomous navigation, automated visual inspection, document image analysis, human-computer interface systems, multidimensional medical imaging and visualization, object recognition, telerobotics, and visual information management. The laboratory has extensive state-of-the-art facilities for doing research, such as high-performance workstations; image capture, display, and reproduction devices; software packages; parallel-processing computers; robotic devices; and many other peripherals.

The faculty and students actively publish, contributing to many journals, books, and conferences. A wide variety of courses in computer vision and related areas are offered. The research is supported by extensive funding from government agencies and private industry. The Computer Vision Laboratory at Penn State is a vibrant growing group, contributing to an exciting expanding field.

For further information please contact the principal investigators of the projects or Professor Rangachar Kasturi, Computer Vision Laboratory, 322 Pond Laboratories, University Park, PA 16802, U.S.A. Tel: (814) 863-4254, Fax: (814) 865-3176. E-mail: kasturi@cse.psu.edu