Accession Number : ADA185286

Title :   Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based Imagery.

Descriptive Note : Final rept. May 84-May 85,

Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF ELECTRICAL AND COMPUTER ENGINEERIN G

Personal Author(s) : Casasent, David ; Sanderson, Arthur ; Kanade, Takeo

PDF Url : ADA185286

Report Date : 10 May 1985

Pagination or Media Count : 133

Abstract : This project is intended to combine: pattern recognition, image understanding and artificial intelligence techniques for space-based image processing as well as: optical and digital processing methods. Optical feature extraction and sub-pixel target detection and tracking results are summarized. Scene representation and modeling work using: probabilistic graph matching, multiple resolution rotation-invariant operators and texture analysis are detailed. Image understanding techniques for 3D scene interpretation discussed include 2D image-level methods (using features such as edges, lines and corners) and 3D scene-level methods. New dynamic programming, stereo image and model building results are included.

Descriptors :   *IMAGE PROCESSING, PATTERN RECOGNITION, ARTIFICIAL INTELLIGENCE, OPTICAL IMAGES, DIGITAL SYSTEMS, TRACKING, TARGET DETECTION, TEXTURE, DYNAMIC PROGRAMMING, IMAGE REGISTRATION

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE