3D multi-spectrum sensor system with face recognition

Joongrock Kim, Sunjin Yu, Ig Jae Kim, Sang Youn Lee

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a novel three-dimensional (3D) multi-spectrum sensor system, which combines a 3D depth sensor and multiple optical sensors for different wavelengths. Various image sensors, such as visible, infrared (IR) and 3D sensors, have been introduced into the commercial market. Since each sensor has its own advantages under various environmental conditions, the performance of an application depends highly on selecting the correct sensor or combination of sensors. In this paper, a sensor system, which we will refer to as a 3D multi-spectrum sensor system, which comprises three types of sensors, visible, thermal-IR and time-of-flight (ToF), is proposed. Since the proposed system integrates information from each sensor into one calibrated framework, the optimal sensor combination for an application can be easily selected, taking into account all combinations of sensors information. To demonstrate the effectiveness of the proposed system, a face recognition system with light and pose variation is designed. With the proposed sensor system, the optimal sensor combination, which provides new effectively fused features for a face recognition system, is obtained.

Original languageEnglish
Pages (from-to)12804-12829
Number of pages26
JournalSensors (Switzerland)
Volume13
Issue number10
DOIs
Publication statusPublished - 2013 Sep 25

Fingerprint

Face recognition
sensors
Sensors
Information Systems
Hot Temperature
Light
Facial Recognition
Infrared radiation
Optical sensors
information systems
optical measuring instruments
Image sensors
Information systems

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Kim, Joongrock ; Yu, Sunjin ; Kim, Ig Jae ; Lee, Sang Youn. / 3D multi-spectrum sensor system with face recognition. In: Sensors (Switzerland). 2013 ; Vol. 13, No. 10. pp. 12804-12829.
@article{7a43baa4e94e44b5820f96b7556d7735,
title = "3D multi-spectrum sensor system with face recognition",
abstract = "This paper presents a novel three-dimensional (3D) multi-spectrum sensor system, which combines a 3D depth sensor and multiple optical sensors for different wavelengths. Various image sensors, such as visible, infrared (IR) and 3D sensors, have been introduced into the commercial market. Since each sensor has its own advantages under various environmental conditions, the performance of an application depends highly on selecting the correct sensor or combination of sensors. In this paper, a sensor system, which we will refer to as a 3D multi-spectrum sensor system, which comprises three types of sensors, visible, thermal-IR and time-of-flight (ToF), is proposed. Since the proposed system integrates information from each sensor into one calibrated framework, the optimal sensor combination for an application can be easily selected, taking into account all combinations of sensors information. To demonstrate the effectiveness of the proposed system, a face recognition system with light and pose variation is designed. With the proposed sensor system, the optimal sensor combination, which provides new effectively fused features for a face recognition system, is obtained.",
author = "Joongrock Kim and Sunjin Yu and Kim, {Ig Jae} and Lee, {Sang Youn}",
year = "2013",
month = "9",
day = "25",
doi = "10.3390/s131012804",
language = "English",
volume = "13",
pages = "12804--12829",
journal = "Sensors",
issn = "1424-3210",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",

}

3D multi-spectrum sensor system with face recognition. / Kim, Joongrock; Yu, Sunjin; Kim, Ig Jae; Lee, Sang Youn.

In: Sensors (Switzerland), Vol. 13, No. 10, 25.09.2013, p. 12804-12829.

Research output: Contribution to journalArticle

TY - JOUR

T1 - 3D multi-spectrum sensor system with face recognition

AU - Kim, Joongrock

AU - Yu, Sunjin

AU - Kim, Ig Jae

AU - Lee, Sang Youn

PY - 2013/9/25

Y1 - 2013/9/25

N2 - This paper presents a novel three-dimensional (3D) multi-spectrum sensor system, which combines a 3D depth sensor and multiple optical sensors for different wavelengths. Various image sensors, such as visible, infrared (IR) and 3D sensors, have been introduced into the commercial market. Since each sensor has its own advantages under various environmental conditions, the performance of an application depends highly on selecting the correct sensor or combination of sensors. In this paper, a sensor system, which we will refer to as a 3D multi-spectrum sensor system, which comprises three types of sensors, visible, thermal-IR and time-of-flight (ToF), is proposed. Since the proposed system integrates information from each sensor into one calibrated framework, the optimal sensor combination for an application can be easily selected, taking into account all combinations of sensors information. To demonstrate the effectiveness of the proposed system, a face recognition system with light and pose variation is designed. With the proposed sensor system, the optimal sensor combination, which provides new effectively fused features for a face recognition system, is obtained.

AB - This paper presents a novel three-dimensional (3D) multi-spectrum sensor system, which combines a 3D depth sensor and multiple optical sensors for different wavelengths. Various image sensors, such as visible, infrared (IR) and 3D sensors, have been introduced into the commercial market. Since each sensor has its own advantages under various environmental conditions, the performance of an application depends highly on selecting the correct sensor or combination of sensors. In this paper, a sensor system, which we will refer to as a 3D multi-spectrum sensor system, which comprises three types of sensors, visible, thermal-IR and time-of-flight (ToF), is proposed. Since the proposed system integrates information from each sensor into one calibrated framework, the optimal sensor combination for an application can be easily selected, taking into account all combinations of sensors information. To demonstrate the effectiveness of the proposed system, a face recognition system with light and pose variation is designed. With the proposed sensor system, the optimal sensor combination, which provides new effectively fused features for a face recognition system, is obtained.

UR - http://www.scopus.com/inward/record.url?scp=84884856743&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884856743&partnerID=8YFLogxK

U2 - 10.3390/s131012804

DO - 10.3390/s131012804

M3 - Article

VL - 13

SP - 12804

EP - 12829

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 10

ER -