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A realistic virtual environment for evaluating face analysis systems under dynamic conditions
(Elsevier, 2016)
This paper proposes a new tool for the evaluation of face analysis systems under dynamic experimental conditions. The tool primarily consists of a virtual environment where a virtual agent (e.g., a simulated robot) carries ...
Reconocimiento de formas con un correladoróptico aplicado a imágenes desenfocadas: invariancia por medio de la selección y fusión de bandas
(Revista Mexicana de Física, 2009)
Automatic Threat Detection in Single, Stereo (Two) and Multi View X-Ray Images
(IEEE, 2020)
Accurate X-ray screening systems are of paramount importance in the present day. Most existing systems predict only on the basis of a single image, which could lead to false positives and false negatives due to limited ...
Conditional Random Fields for Spanish Named Entity Recognition Using Unsupervised Features
(Springer Verlag, 2016)
Unsupervised features based on word representations such as word embeddings and word collocations have shown to significantly improve supervised NER for English. In this work we investigate whether such unsupervised features ...
A Convolution Neural Network Engine for Sclera Recognition
The world is shifting to the digital era in an enormous pace. This rise in the digital technology has created plenty of applications in the digital space, which demands a secured environment for transacting and authenticating ...
Global, semi-global and local color angular features for unsupervised face recognition
(Curitiba, 2003)
In face recognition applications, dealing with images under different conditions is a challenging task because they can affect dramatically the recognition performance. Among many image features, color is an useful feature ...
Dynamic Features for Iris Recognition
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
The human eye is sensitive to visible light. Increasing illumination on the eye causes the pupil of the eye to contract, while decreasing illumination causes the pupil to dilate. Visible light causes specular reflections ...
Face recognition via adaptive sparse representations of random patches
(IEEE, 2014)
Unconstrained face recognition is still an open problem, as state-of-the-art algorithms have not yet reached high recognition performance in real-world environments (e.g., crowd scenes at the Boston Marathon). This paper ...
Recognition of Faces and Facial Attributes Using Accumulative Local Sparse Representations
(IEEE, 2018)
This paper addresses the problem of automated recognition of faces and facial attributes by proposing a new general approach called Accumulative Local Sparse Representation (ALSR). In the learning stage, we build a general ...