3D Multi-Spectrum Sensor System with Face Recognition

Title
3D Multi-Spectrum Sensor System with Face Recognition
Authors
김중락유선진김익재이상윤
Keywords
image sensor; face recognition; sensor fusion; depth sensor
Issue Date
2013-09
Publisher
Sensors
Citation
VOL 13, 12804-12829
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.
URI
http://pubs.kist.re.kr/handle/201004/45903
ISSN
14248220
Appears in Collections:
KIST Publication > Article
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