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