Function-based recognition from incomplete knowledge of shape

Author

Stark, L. ; Hoover, A. ; Goldgof, D. ; Bowyer, K.

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA

fYear

1993

fDate

14-14 June 1993

Firstpage

11

Lastpage

22

Abstract

The paper describes a function-based reasoning system that analyzes incomplete object shape descriptions of the type that can be acquired from a single view or from a sequence of views in which not all of the object is seen. Results are presented for the analysis of the partial shape descriptions extracted from over 200 real laser range finder images taken by a mobile robot. The work represents the first function-based recognition system to reason from incomplete knowledge of 3D object shape and also the first to analyze 3D shape descriptions acquired from real image data. Results demonstrate that function based recognition is a feasible and practical capability to pursue for autonomous robotic systems.<>

Keywords

computer vision; image recognition; inference mechanisms; spatial reasoning; uncertainty handling; 3D object shape; OPUS; function-based reasoning system; incomplete knowledge; laser range finder images; mobile robot; object shape descriptions; partial shape descriptions; Data mining; Image analysis; Image recognition; Image segmentation; Lakes; Laser modes; Orbital robotics; Robots; Shape; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Qualitative Vision, 1993., Proceedings of IEEE Workshop on

Conference_Location

New York City, NY, USA

Print_ISBN

0-8186-3692-0

Type

conf

DOI

10.1109/WQV.1993.262954

Filename

262954