Accession Number : ADA307662

Title :   Research in Appearance Description for Machine Vision.

Descriptive Note : Final rept. 30 Sep 92-29 Nov 95,

Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE

Personal Author(s) : Shafer, Steve

PDF Url : ADA307662

Report Date : 31 JAN 1996

Pagination or Media Count : 30

Abstract : The key barrier to application of machine vision in unconstrained environments is the complexity of image formation in the world and the resultant difficulty of characterizing it concisely. If we could create a general yet concise description of image formation, we would have a vocabulary for discussing the complexity of specific scenes and the assumptions of specific machine vision approaches. In this research, the investigators are attempting to develop such a 'vocabulary' consisting of a mathematical formalism for describing scenes, and examples of programs that utilize this formalism and data that is described using it. The data collection is not only for the purpose of this research contract, but also as a way of archiving and broadcasting high-quality image data from the Calibrated Imaging Laboratory at CMU, that may be useful for other researchers in image understanding.

Descriptors :   *IMAGE PROCESSING, *COMPUTER VISION, DATA BASES, MATHEMATICAL MODELS, ALGORITHMS, TRANSFER FUNCTIONS, DATA MANAGEMENT, COMPATIBILITY, OPTICAL IMAGES, ILLUMINATION, OPTICAL ANALYSIS, IMAGE INTENSIFICATION, COLORS, DATA ACQUISITION, HEURISTIC METHODS, PATTERN RECOGNITION, HYPOTHESES, REFLECTANCE, PIXELS, IMAGE REGISTRATION, CHROMATICITY, COMPUTER BENCHMARKING, OBJECT ORIENTED PROGRAMMING.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE