A Research Center in the Scientific Foundation of Image Representation and Analysis (CIS)
Abstract
Following is the Center for Imaging Science (CIS) final report for 1999-2001 on the development of the fundamental underpinnings for the representation and understanding of complex scenes. CIS is composed of researchers from MIT, Ohio State, Smith-Kettlewell Eye Research Institute, University of Illinois, University of Texas at Austin, University of Texas at El Paso, Washington University and Yale. Reflecting the broad nature of imaging science, the research in at CIS is multidisciplinary encompassing physics, mathematics, electrical engineering, computer vision, computer science and cognitive science. The efforts of CIS during the i999-2001 years built on the mathematical foundations that have been emerging over the past several decades. Examining a broad class of remote sensing problems, we have been establishing the fundamental framework for the inference and representation of structures in complex systems and scenes of complex shapes proceeding from the representation of complex scenes, to image formation and sensor modeling, and culminating in the development of the fundamental underpinnings for optimal decision/recognition strategies in image understanding and ATR. Within this framework, we are establishing the methodology for establishing the limits of performance of detection, identification and recognition algorithms solving remote sensing problems involving data from multiple active and passive sensors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 30, 2001
- Accession Number
- ADA398440
Entities
People
- Michael I. Miller
Organizations
- Johns Hopkins University