A survey and technology trends of 3D features for object recognition

Manabu Hashimoto; Shuichi Akizuki; Shoichi Takei

doi:10.1541/ieejeiss.136.1038

A survey and technology trends of 3D features for object recognition

Manabu Hashimoto, Shuichi Akizuki, Shoichi Takei

Research output: Contribution to journal › Review article › peer-review

5 Citations (Scopus)

Abstract

Recently, various kinds of 3D imaging devices such as laser range finder or time-of-flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using "point cloud data" have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the LRF (Local Reference Frame) which is very important factor to realize stable feature description and accurate pose estimation in practical use.

Original language	English
Pages (from-to)	1038-1046
Number of pages	9
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	136
Issue number	8
DOIs	https://doi.org/10.1541/ieejeiss.136.1038
Publication status	Published - 2016
Externally published	Yes

Keywords

3D features
Local Reference Frame
Object recognition
Robot vision

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1541/ieejeiss.136.1038

Cite this

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title = "A survey and technology trends of 3D features for object recognition",

abstract = "Recently, various kinds of 3D imaging devices such as laser range finder or time-of-flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using {"}point cloud data{"} have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the LRF (Local Reference Frame) which is very important factor to realize stable feature description and accurate pose estimation in practical use.",

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author = "Manabu Hashimoto and Shuichi Akizuki and Shoichi Takei",

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year = "2016",

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language = "English",

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T1 - A survey and technology trends of 3D features for object recognition

AU - Hashimoto, Manabu

AU - Akizuki, Shuichi

AU - Takei, Shoichi

PY - 2016

Y1 - 2016

N2 - Recently, various kinds of 3D imaging devices such as laser range finder or time-of-flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using "point cloud data" have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the LRF (Local Reference Frame) which is very important factor to realize stable feature description and accurate pose estimation in practical use.

AB - Recently, various kinds of 3D imaging devices such as laser range finder or time-of-flight sensor become popular, so a lot of practical algorithms for recognizing 3D objects using "point cloud data" have been proposed. In this paper, we will introduce typical object recognition approaches and survey various kinds of 3D features proposed by many researchers. As for some important techniques, their principle and characteristics are explained in detail. Also we will mention about the LRF (Local Reference Frame) which is very important factor to realize stable feature description and accurate pose estimation in practical use.

KW - 3D features

KW - Local Reference Frame

KW - Object recognition

KW - Robot vision

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JO - IEEJ Transactions on Electronics, Information and Systems

JF - IEEJ Transactions on Electronics, Information and Systems

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A survey and technology trends of 3D features for object recognition

Abstract

Keywords

ASJC Scopus subject areas

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