A spectral independent approach for physiological and geometric based face recognition in the visible, middle-wave and long-wave infrared bands

Osia, Nnamdi; Bourlai, Thirimachos

doi:10.1016/j.imavis.2014.06.010

Cited by 26 publications

(9 citation statements)

References 16 publications

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“…So, preprocessing is necessary. We adopt the Perona-Malik anisotropic diffusion [45] for the thermal image thus improving the RMS contrast to -27.1 dB. The processed result in Figure 6(c) shows higher contrast and better smooth compare 265 to the raw image in Figure 6(a).…”

Section: Qualitative Validationmentioning

confidence: 99%

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Infrared and visible images registration with adaptable local-global feature integration for rail inspection

Tang

Tian

Chen

et al. 2017

Infrared Physics & Technology

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Active thermography provides infrared images that contain sub-surface defect information, while visible images only reveal surface information. Mapping infrared information to visible images offers more comprehensive visualization for decision-making in rail inspection. However, the common information for registration is limited due to different modalities in both local and global level. For example, rail track which has low temperature contrast reveals rich details in visible images, but turns blurry in the infrared counterparts. This paper proposes a registration algorithm called Edge-Guided Speeded-Up-Robust-Features (EG-SURF) to address this issue. Rather than sequentially integrating local and global information in matching stage which suffered from buckets effect, this algorithm adaptively integrates local and global information into a descriptor to gather more common information before matching. This adaptability consists of two facets, an adaptable weighting factor between local and global information, and an adaptable main direction accuracy. The local information is extracted using SURF while the global information is represented by shape context from * Corresponding author edges. Meanwhile, in shape context generation process, edges are weighted according to local scale and decomposed into bins using a vector decomposition manner to provide more accurate descriptor. The proposed algorithm is qualitatively and quantitatively validated using eddy current pulsed thermography scene in the experiments. In comparison with other algorithms, better performance has been achieved.

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Section: Qualitative Validationmentioning

confidence: 99%

“…UGW employs mechanical stress waves that propagate along an elongated structure (e.g., rails and pipelines) while guided by its boundaries. The waves carry defect information 45 when captured by sensors. This method can detect very long distance in a single test.…”

mentioning

confidence: 99%

Infrared and visible images registration with adaptable local-global feature integration for rail inspection

Tang

Tian

Chen

et al. 2017

Infrared Physics & Technology

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“…Compared with the traditional gray and color face imaging, infrared imaging can acquire the intrinsic temperature information of the skin, which is robust to the impacts of illumination conditions and disguises [1,2]. Infrared face recognition is an active research area during last years.…”

Section: Introductionmentioning

confidence: 99%

“…Many feature extraction methods are proposed for infrared face recognition [1]. Those methods are mainly divided into two categories: holistic extraction methods and local extraction methods [2]. Due to low resolutions of infrared face image, the local feature extraction is more appreciated for infrared face feature extraction, which can be used to get more local discriminant information.…”

Section: Introductionmentioning

confidence: 99%

Infrared Face Recognition Based on Adaptive Dominant Pattern of Local Binary Pattern

Xie

2015

Communications in Computer and Information Science

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Abstract. Infrared face recognition, being light-independent, and not vulnerable to facial skin, expressions and posture, can avoid or limit the drawbacks of face recognition in visible light. Local binary pattern (LBP), as a classic local feature descriptor, is appreciated for infrared face feature representation. To extract compact and principle information from LBP features, infrared face recognition based on LBP adaptive dominant pattern is proposed in this paper. Firstly, LBP operator is applied to infrared face for texture information. Based on the statistical distribution, the variable dominant pattern is attained for different infrared faces. Finally, dissimilarity metrics between the adaptive dominant pattern features is defined for final recognition. The experimental results show the adaptive dominant patterns in infrared face image have a lower feature dimensionality, and the proposed infrared face recognition method outperforms the traditional methods based on LBP uniform and discriminant patterns.

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“…In these papers, face matching is performed utilizing fiducial points on the face when using either the whole or sub-regions of the human face. Face matching was also reported to be independent of the operational band [29].…”

Section: Chapter 1 Introduction 11 Motivationmentioning

confidence: 97%

Human Recognition from Video Sequences and Off-Angle Face Images Supported by Respiration Signatures

Yang¹

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Human Recognition from Video Sequences and Off-Angle Face Images Supported by Respiration Signatures Xue Yang Firstly, I would like to express my deepest gratitude and appreciation to my supervisor and committee chair, Dr. Thirimachos Bourlai for giving me a lot of comprehension and the valuable opportunity to join the Multispectral Imagery Lab (MILab). His knowledge, hardworking behavior and rigorous research attitude have always inspired and encouraged me in every stage of my research. Working with him has given me the opportunity to achieve my goals and make important decisions in my life. I consider it as a privilege to have him as my supervisor and instructor throughout my work. I also wish to express my sincere respects and thanks to all the members of my committee, Dr. Yuxin Liu and Dr. Jeremy Dawson for their valuable guidance and suggestions. I would like to thank to my boyfriend Qiang Zhang and my family members who always support and encourage me. I would not have made it this far without their help and trust. I would like to extend my thanks to all my lab mates Neeru, Xuan, Nnmadi, Cameron, Michael and Jason for their cooperation and support.

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A spectral independent approach for physiological and geometric based face recognition in the visible, middle-wave and long-wave infrared bands

Cited by 26 publications

References 16 publications

Infrared and visible images registration with adaptable local-global feature integration for rail inspection

Infrared and visible images registration with adaptable local-global feature integration for rail inspection

Infrared Face Recognition Based on Adaptive Dominant Pattern of Local Binary Pattern

Human Recognition from Video Sequences and Off-Angle Face Images Supported by Respiration Signatures

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