An orientation reliability matrix for the iterative closest point algorithm

Byung Uk Lee; Chul Min Kim; Rae Hong Park

doi:10.1109/34.879805

An orientation reliability matrix for the iterative closest point algorithm

Byung Uk Lee, Chul Min Kim, Rae Hong Park

Electronic and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

This paper proposes a matrix which represents the reliability of the rotation components of the iterative closest point (ICP) algorithm in range image registration. We show that the reliability of the ICP algorithm depends on the surface normal vectors of the object.

Original language	English
Pages (from-to)	1205-1208
Number of pages	4
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	22
Issue number	10
DOIs	https://doi.org/10.1109/34.879805
State	Published - 2000

Keywords

3d registration
Icp algorithm
Pose estimation
Range data
Volumetric modeling

Access to Document

10.1109/34.879805

Cite this

@article{87590df5452242c885e5d43c20d9d86c,

title = "An orientation reliability matrix for the iterative closest point algorithm",

abstract = "This paper proposes a matrix which represents the reliability of the rotation components of the iterative closest point (ICP) algorithm in range image registration. We show that the reliability of the ICP algorithm depends on the surface normal vectors of the object.",

keywords = "3d registration, Icp algorithm, Pose estimation, Range data, Volumetric modeling",

author = "Lee, {Byung Uk} and Kim, {Chul Min} and Park, {Rae Hong}",

year = "2000",

doi = "10.1109/34.879805",

language = "English",

volume = "22",

pages = "1205--1208",

journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",

issn = "0162-8828",

publisher = "IEEE Computer Society",

number = "10",

}

TY - JOUR

T1 - An orientation reliability matrix for the iterative closest point algorithm

AU - Lee, Byung Uk

AU - Kim, Chul Min

AU - Park, Rae Hong

PY - 2000

Y1 - 2000

N2 - This paper proposes a matrix which represents the reliability of the rotation components of the iterative closest point (ICP) algorithm in range image registration. We show that the reliability of the ICP algorithm depends on the surface normal vectors of the object.

AB - This paper proposes a matrix which represents the reliability of the rotation components of the iterative closest point (ICP) algorithm in range image registration. We show that the reliability of the ICP algorithm depends on the surface normal vectors of the object.

KW - 3d registration

KW - Icp algorithm

KW - Pose estimation

KW - Range data

KW - Volumetric modeling

UR - http://www.scopus.com/inward/record.url?scp=0034290927&partnerID=8YFLogxK

U2 - 10.1109/34.879805

DO - 10.1109/34.879805

M3 - Article

AN - SCOPUS:0034290927

SN - 0162-8828

VL - 22

SP - 1205

EP - 1208

JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

IS - 10

ER -

An orientation reliability matrix for the iterative closest point algorithm

Abstract

Keywords

Access to Document

Fingerprint

Cite this