Illumination invariant face recognition using thermal infrared imagery

@article{Socolinsky2001IlluminationIF,
  title={Illumination invariant face recognition using thermal infrared imagery},
  author={Diego A. Socolinsky and Lawrence B. Wolff and Joshua D. Neuheisel and Christopher K. Eveland},
  journal={Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001},
  year={2001},
  volume={1},
  pages={I-I}
}
A key problem for face recognition has been accurate identification under variable illumination conditions. Conventional video cameras sense reflected light so that image grayvalues are a product of both intrinsic skin reflectivity and external incident illumination, thus obfuscating the intrinsic reflectivity of skin. Thermal emission from skin, on the other hand, is an intrinsic measurement that can be isolated from external illumination. We examine the invariance of Long-Wave InfraRed (LWIR… 
Quantitative measurement of illumination invariance for face recognition using thermal infrared imagery
A key issue for face recognition has been accurate identification under variable illumination conditions. Conventional video cameras sense reflected light so that image gray values are a product of
Face Recognition in the Thermal Infrared
TLDR
An end-to-end face recognition system incorporating simultaneous coregistered thermal infrared and visible has been developed and tested indoors with good performance and physical phenomenology responsible for this observation is analyzed.
Chapter 6 Face Recognition in the Thermal Infrared ?
Recent research has demonstrated distinct advantages of using thermal infrared imaging for improving face recognition performance. While conventional video cameras sense reflected light, thermal
Face Recognition in the Dark
TLDR
The experiments show that although eyes cannot be detected as reliably in thermal images as in visible ones, some face recognition algorithms can still achieve adequate performance.
A comparison of thermal image descriptors for face analysis
TLDR
A fresh look at the problem of face analysis in the thermal domain is taken and it is revealed that Haar based features (FCTH - Fuzzy Color and Texture Histogram) offers the best results for some facial expressions.
Seeing People in the Dark: Face Recognition in Infrared Images
TLDR
It is found that IR face images are less effected by changes of pose or facial expression and enable a simple method for detection of facial features, and the applicability of commonly used face recognition methods in the visible light domain is shown.
Thermal Infrared Face Recognition Using Linear Discriminant Analysis Approach
Despite the variety of approaches, face recognition is not accurate or robust enough to be deployed in uncontrolled environments. Illumination variation is one of the most significant factors
Multispectral Imaging for Illumination Invariant Face Recognition
Under controlled illumination conditions, visual Face Recognition systems perform well for faces with low or no disguise [1]. Infrared (Thermal) Face Recognition provides an enticing alternative to
Robust Identity Verification Based on Infrared Face Images
TLDR
This work focuses on identity verification using IR face images and study its robustness in response to variation of above environmental factors and expression, and proposes and investigates several fusion techniques.
Illumination Invariant Face Recognition Using Near-Infrared Images
TLDR
An active near infrared (NIR) imaging system is presented that is able to produce face images of good condition regardless of visible lights in the environment, and it is shown that the resulting face images encode intrinsic information of the face, subject only to a monotonic transform in the gray tone.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 17 REFERENCES
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
TLDR
Evaluating the sensitivity of image representations to changes in illumination, as well as viewpoint and facial expression, indicated that none of the representations considered is sufficient by itself to overcome image variations because of a change in the direction of illumination.
Face Recognition: the Problem of Compensating for Changes in Illumination Direction
TLDR
This paper studies several image representations that are often considered insensitive to changes of illumination conditions, such as edge maps, derivatives of the grey-level image, and the image convolved with Gabor filters, and concludes that they are insufficient by themselves to overcome the variation between images due to changes in illumination direction as well as changes due to viewing position and expression.
Comparison of visible and infra-red imagery for face recognition
TLDR
The recognition results show that both visible and IR imagery perform similarly across algorithms and that fusion of IR and visible imagery as a viable means of enhancing performance beyond that of either acting alone.
History, current status, and future of infrared identification
  • F. Prokoski
  • Geography
    Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (Cat. No.PR00640)
  • 2000
Infrared identification (IRID) is a biometric which offers the security of fingerprints with the convenience of facial recognition. Twenty years after being first proposed IRID systems are becoming
Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery
TLDR
A means of fusing registered low-light visible and thermal infrared imagery to support realtime color night vision and remarkable realistic color renderings of night scenes are obtained which may support perceptual "pop-out" of extended navigation cues and compact targets.
The FERET evaluation methodology for face-recognition algorithms
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition
Eigenfaces for Recognition
TLDR
A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Memory-based face recognition for visitor identification
We show that a simple, memory-based technique for appearance-based face recognition, motivated by the real-world task of visitor identification, can outperform more sophisticated algorithms that use
High-Performance Memory-based Face Recognition for Visitor Identification
We show that a simple, memory-based technique for view-based face recognition, motivated by the real-world task of visitor identification, can outperform more sophisticated algorithms that use
A Multiscale Retinex for Color Rendition and Dynamic Range Compression
The human vision system performs the tasks of dynamic range compression and color constancy almost effortlessly. The same tasks pose a very challenging problem for imaging systems whose dynamic range
...
1
2
...