Rapid recognition of freeform objects in noisy range images using tripod operators

Author

Pipitone, Frank ; Adams, William

Author_Institution

US Naval Res. Lab., Washington, DC, USA

fYear

1993

fDate

15-17 Jun 1993

Firstpage

715

Lastpage

716

Abstract

The tripod operator is a class of feature extraction operators for range images. It facilitates the recognition and/or localization of objects by extracting a few sparse point samples in a regimented way; n sampled surface points yield only n-3 scalar features containing all the surface shape information in these points and no other information. They have complete six degrees-of-freedom (DOF) isometry invariance. Isolated objects are recognized in noisy range images using a statistical treatment of a few isolated tripod operator placements. Experiments show fast, reliable recognition

Keywords

feature extraction; image recognition; noise; object recognition; statistical analysis; 6-d.o.f. isometry invariance; feature extraction operators; freedom object rapid recognition; noisy range images; object localization; scalar features; sparse point samples; statistical treatment; tripod operators; Artificial intelligence; Data mining; Feature extraction; Image recognition; Laboratories; Noise shaping; Object recognition; Photometry; Shape; Surface reconstruction; Surface treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on

Conference_Location

New York, NY

ISSN

1063-6919

Print_ISBN

0-8186-3880-X

Type

conf

DOI

10.1109/CVPR.1993.341014

Filename

341014