Proceedings ArticleDOI
Can holistic representations be used for face biometric quality assessment
Samarth Bharadwaj,Mayank Vatsa,Richa Singh +2 more
- pp 2792-2796
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TLDR
This paper investigates the use of holistic super-ordinate representations, namely, Gist and sparsely pooled Histogram of Orientated Gradient, in classifying images into different quality categories that are derived from matching performance.Abstract:
A face quality metric must quantitatively measure the usability of an image as a biometric sample. Though it is well established that quality measures are an integral part of robust face recognition systems, automatic measurement of bio-metric quality in face is still challenging. Inspired by scene recognition research, this paper investigates the use of holistic super-ordinate representations, namely, Gist and sparsely pooled Histogram of Orientated Gradient (HOG), in classifying images into different quality categories that are derived from matching performance. The experiments on the CAS-PEAL and SCFace databases containing covariates such as illumination, expression, pose, low-resolution and occlusion by accessories, suggest that the proposed algorithm can efficiently classify input face image into relevant quality categories and be utilized in face recognition systems.read more
Citations
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QFuse: Online learning framework for adaptive biometric system
TL;DR: This paper presents an adaptive context switching algorithm coupled with online learning to address the scalability and accommodate the variations in data distribution of biometrics.
Proceedings ArticleDOI
Automatic Face Quality Assessment from Video Using Gray Level Co-occurrence Matrix: An Empirical Study on Automatic Border Control System
TL;DR: The experimental results have indicated that the proposed face quality assessment algorithm can effectively classify the input image into relevant quality bins that in turn can be employed for the improved face verification.
Posted Content
Automatic Face Image Quality Prediction.
Lacey Best-Rowden,Anil K. Jain +1 more
TL;DR: This is the first work to utilize human assessments of face image quality in designing a predictor of unconstrained face quality that is shown to be effective in cross-database evaluation.
Journal ArticleDOI
Computational Intelligence for Biometric Applications: a Survey
Ruggero Donida Labati,Angelo Genovese,Enrique Muñoz,Vincenzo Piuri,Fabio Scotti,Gianluca Sforza +5 more
TL;DR: This work presents computational intelligence techniques applied to biometrics, from both a theoretical and an application point of view.
Book ChapterDOI
Image Quality Assessment-Based Approach to Estimate the Age of Pencil Sketch
TL;DR: The significance of this analysis is given a pencil sketch that it can quickly and effectively calculate its age and hence help the law enforcement agency to apprehend the criminals in a very short time interval.
References
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Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Journal ArticleDOI
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
Aude Oliva,Antonio Torralba +1 more
TL;DR: The performance of the spatial envelope model shows that specific information about object shape or identity is not a requirement for scene categorization and that modeling a holistic representation of the scene informs about its probable semantic category.
Book
Modern image quality assessment
Zhou Wang,A.C. Bovik +1 more
TL;DR: This book is about objective image quality assessment to provide computational models that can automatically predict perceptual image quality and to provide new directions for future research by introducing recent models and paradigms that significantly differ from those used in the past.
Journal ArticleDOI
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
TL;DR: The evaluation protocol based on the CAS-PEAL-R1 database is discussed and the performance of four algorithms are presented as a baseline to do the following: elementarily assess the difficulty of the database for face recognition algorithms; preference evaluation results for researchers using the database; and identify the strengths and weaknesses of the commonly used algorithms.
Journal ArticleDOI
SCface --- surveillance cameras face database
TL;DR: A database of static images of human faces taken in uncontrolled indoor environment using five video surveillance cameras of various qualities to enable robust face recognition algorithms testing, emphasizing different law enforcement and surveillance use case scenarios is described.