Accession Number : ADA307099

Title :   Model-Based Matching of Line Drawings by Linear Combinations of Prototypes.

Descriptive Note : Memorandum rept.,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s) : Jones, Michael J. ; Poggio, Tomaso

PDF Url : ADA307099

Report Date : DEC 1995

Pagination or Media Count : 8

Abstract : We describe a technique for finding pixelwise correspondences between two images by using models of objects of the same class to guide the search. The object models are 'learned' from example images (also called prototypes) of an object class. The models consist of a linear combination of prototypes. The flow fields giving pixelwise correspondences between a base prototype and each of the other prototypes must be given. A novel image of an object of the same class is matched to a model by minimizing an error between the novel image and the current guess for the closest model image. Currently, the algorithm applies to line drawings of objects. An extension to real grey level images is discussed.

Descriptors :   *PROTOTYPES, *IMAGES, *COMPUTER VISION, *MATCHING, ALGORITHMS, MODELS, TWO DIMENSIONAL, THREE DIMENSIONAL, FLOW FIELDS, LINEARITY, PIXELS, ENGINEERING DRAWINGS, LINES(GEOMETRY).

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE