Short Wavelength Infrared Face Recognition for Personalization

Kang, Jinwoo; Borkar, Amol; Yeung, Angelique; Nong, Nancy; Smith, M.J.T.; Hayes, M.H.

doi:10.1109/icip.2006.313118

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…1563,1564 Additional application are astrophysics, 1565 remote sensing for climate and natural resources monitoring, 1566 food and pharmaceutical industries for quality control and product inspection 1567 and identification. 1568 Modelling of the optical properties, such as extinction, absorption, and scattering cross-sections, as well as local field enhancement in the proximity of metallic nanostructures due to plasmon resonances 1569 is important, in order to predict their functions and to engineer their properties. It is thus necessary to achieve a thorough understanding of the interaction between the subsystems and how their individual optical properties contribute to the formation of novel effects.…”

Section: Graphene Plasmonicsmentioning

confidence: 99%

Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems

et al. 2015

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We present the science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems, targeting an evolution in technology, that might lead to impacts and benefits reaching into most areas of society. This roadmap was developed within the framework of the European Graphene Flagship and outlines the main targets and research areas as best understood at the start of this ambitious project. We provide an overview of the key aspects of graphene and related materials (GRMs), ranging from fundamental research challenges to a variety of applications in a large number of sectors, highlighting the steps necessary to take GRMs from a state of raw potential to a point where they might revolutionize multiple industries. We also define an extensive list of acronyms in an effort to standardize the nomenclature in this emerging field.

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Section: Graphene Plasmonicsmentioning

confidence: 99%

Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems

et al. 2015

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“…Experiments on the Equniox database indicate that the performance on long-wave infrared (LWIR) images outperform one on visual images by more than 30%. Kang et al [70] apply both PCA and LDA in face recognition on short-wave infrared (SWIR) images for improving performance.…”

Section: Infrared Face Recognitionmentioning

confidence: 99%

Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey

Zhou

Mian

Wei

et al. 2014

IEEE Trans. Human-Mach. Syst.

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High performance for face recognition systems occurs in controlled environments and degrades with variations in illumination, facial expression, and pose. Efforts have been made to explore alternate face modalities such as infrared (IR) and 3-D for face recognition. Studies also demonstrate that fusion of multiple face modalities improve performance as compared with singlemodal face recognition. This paper categorizes these algorithms into singlemodal and multimodal face recognition and evaluates methods within each category via detailed descriptions of representative work and summarizations in tables. Advantages and disadvantages of each modality for face recognition are analyzed. In addition, face databases and system evaluations are also covered.

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“…It is a part of the reflected IR (active) band (in these experiments, it ranges from 0.9µm to 1.7µm). In harsh environmental conditions characterized by unfavorable lighting and pronounced shadows, FR based on SWIR images may be advantageous [13][14][15][16]. SWIR imagery is more tolerant to low levels of obscurants like fog and smoke or uncontrolled (bottom image) conditions [7].…”

Section: Contributionsmentioning

confidence: 99%

“…[3,17,18]. The main benefit is that, it can take advantage of sunlight, moonlight, or starlight [14,19,20]. It offers the possibility to capture the images through tinted glass as shown in controlled and uncontrolled conditions in our lab.…”

Section: Contributionsmentioning

confidence: 99%

Erbium alloyed AlN thin films: Structural, piezoelectric and magnetic properties

Narang¹

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Deep Features based Hierarchical Classification Scheme for Face Recognition in Heterogeneous Environments Neeru Narang This dissertation investigates the advantages and limitations of the heterogeneous problem of matching infrared long-range, night time face images against their visible counterparts. The contributions of the thesis are threefold. First, a multi-feature scenario dependent fusion scheme is developed, where Gabor Wavelets, Histogram of gradients (HOG) and Local binary patterns (LBP) feature descriptors are empirically selected. Next, a set of fusion score level schemes are developed and applied before face matching. The developed fusion scheme results in 54 percent point (pp) higher recognition performance than the baseline established using a commercial and a set of academic face matchers. Second, to further improve the performance of baseline face recognition (FR) systems, a scenario dependent and sensor adaptable convolutional neural network (CNN) is developed that groups the data in terms of demographic information, including scenarios (situations) such as indoors or outdoors data, as well as distance and sensor based data. The automated grouping scheme developed is applied before the FR algorithms are used, improving baseline performance from 48% (all vs. all) to 70% (with data grouping). Third, an image quality restoration scheme is designed and developed. This scheme is beneficial to FR systems because the quality of face data captured under challenging conditions is affected by a variety of noise factors (including low illumination conditions, variable standoff distances, and uncooperative subjects). Thus, image quality is responsible for the performance degradation of conventional FR matchers. The developed scheme improves, first, the quality of distorted face images and, then, FR performance in terms of the rank-1 identification rate. Based on the experimental results the major conclusion from this research is that the aforementioned schemes discussed in this dissertation significantly improve cross-spectral face matching performance on diverse scenarios, when used either independently or in combination. The experimental results are further supported by statistical analysis tests, conducted to find the statistical significance of incorporating the developed score level fusion schemes, as well as the demographic filtering to FR systems.

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Short Wavelength Infrared Face Recognition for Personalization

Cited by 10 publications

References 9 publications

Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems

Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems

Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey

Erbium alloyed AlN thin films: Structural, piezoelectric and magnetic properties

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