Accession Number : ADA302234
Title : Spherical Representations: From EGI to SAI.
Descriptive Note : Research rept.,
Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
Personal Author(s) : Ikeuchi, Katsushi ; Hebert, Martial
PDF Url : ADA302234
Report Date : OCT 1995
Pagination or Media Count : 29
Abstract : One of the fundamental problems in representing a curved surface is how to define an intnnsic, i.e., viewer independent, coordinate system over a curved object surface. In order to establish point matching between model and observed feature distributions over the standard coordinate system, we need to set up a coordinate system that maps a point on a curved surface to a point on a standard coordinate system. This mapping should be independent of the viewing direction. Since the boundary of a 3-D object forms a closed surface, a coordinate system defined on the sphere is preferred. We have been exploring several intrinsic mappings from an object surface to a spherical surface. We have investigated several representations including: the EGI (Extended Gaussian Image), the DEGI (Distributed Extended Gaussian Image), the CEGI (Complex Extended Gaussian Image), and the SAl (Spherical Attribute Image). This paper summarizes our motivations to derive each representation and the lessons that we have learned through this endeavor.
Descriptors : *COMPUTER VISION, *MAPPING(TRANSFORMATIONS), ROBOTICS, DISTRIBUTION, SURFACES, CURVATURE, COORDINATES, MATCHING, VIEWERS, DIFFERENTIAL GEOMETRY.
Subject Categories : Bionics
Optical Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE