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Title: Range image segmentation and surface parameter extraction for a mobile robot

Abstract

This paper presents a methodology for a concise representation of the 3-D world model for a mobile robot, using range data. The process starts with the segmentation of the scene into ''objects'' that are given a unique label, based on principles of range continuity. Then the external surface of each object is partitioned into homogeneous surface patches. Contours of surface patches in 3-D space are identified by estimating the normal and curvature associated with each pixel. The resulting surface patches are then classified as planar, convex or concave. Since the world model uses a volumetric representation for the 3-D environment, planar surfaces are represented by thin volumetric polyhedra. Spherical and clindrical surfaces are extracted and represented by appropriate volumetric primitives. All other surfaces are represented using the boolean union of spherical volumes (as described in a separate paper by the same authors). The result is a general, concise representation of the external 3-D world, which allows for efficient and robust 3-D object recognition. 20 refs., 14 figs.

Authors:
; ;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (USA)
OSTI Identifier:
5476592
Report Number(s):
CONF-880424-4
ON: DE87013877
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Conference
Resource Relation:
Conference: IEEE international conference on robotics and automation, Philadelphia, PA, USA, 25 Apr 1988; Other Information: Portions of this document are illegible in microfiche products
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; ROBOTS; NAVIGATION; MATHEMATICS; PATTERN RECOGNITION; THREE-DIMENSIONAL CALCULATIONS; 420200* - Engineering- Facilities, Equipment, & Techniques

Citation Formats

Goldstein, M, Pin, F G, and Weisbin, C R. Range image segmentation and surface parameter extraction for a mobile robot. United States: N. p., 1987. Web.
Goldstein, M, Pin, F G, & Weisbin, C R. Range image segmentation and surface parameter extraction for a mobile robot. United States.
Goldstein, M, Pin, F G, and Weisbin, C R. 1987. "Range image segmentation and surface parameter extraction for a mobile robot". United States.
@article{osti_5476592,
title = {Range image segmentation and surface parameter extraction for a mobile robot},
author = {Goldstein, M and Pin, F G and Weisbin, C R},
abstractNote = {This paper presents a methodology for a concise representation of the 3-D world model for a mobile robot, using range data. The process starts with the segmentation of the scene into ''objects'' that are given a unique label, based on principles of range continuity. Then the external surface of each object is partitioned into homogeneous surface patches. Contours of surface patches in 3-D space are identified by estimating the normal and curvature associated with each pixel. The resulting surface patches are then classified as planar, convex or concave. Since the world model uses a volumetric representation for the 3-D environment, planar surfaces are represented by thin volumetric polyhedra. Spherical and clindrical surfaces are extracted and represented by appropriate volumetric primitives. All other surfaces are represented using the boolean union of spherical volumes (as described in a separate paper by the same authors). The result is a general, concise representation of the external 3-D world, which allows for efficient and robust 3-D object recognition. 20 refs., 14 figs.},
doi = {},
url = {https://www.osti.gov/biblio/5476592}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 1987},
month = {Thu Jan 01 00:00:00 EST 1987}
}

Conference:
Other availability
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