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The iris is regarded as one of the most useful traits for biometric recognition and the dissemination of nationwide iris-based recognition systems is imminent. However, currently deployed systems rely on heavy imaging constraints to capture near infrared images with enough quality. Also, all of the publicly available iris image databases contain data(More)
With the emerging interest in active vision, computer vision researchers have been increasingly concerned with the mechanisms of attention. Therefore, a number of visual attention computational models, inspired by the Human Visual System (HVS), have been developed. These models aim to detect regions of interest in images. In recent decades, psychologists,(More)
When processing 3D point cloud data, features must be extracted from a small set of points, usually called keypoints. This is done to avoid the computational complexity required to extract features from all points in a point cloud. There are many keypoint detectors and this suggests the need of a comparative evaluation. When the keypoint detectors are(More)
The aim of this paper is to present a method for the automatic segmentation of face images captured in Long Wavelength Infrared (LWIR), allowing for a large range of face rotations and expressions. The motivation behind this effort is to enable better performance of face recognition methods in the thermal Infrared (IR) images. The proposed method consists(More)
One of the major problems found when developing a 3D recognition system involves the choice of keypoint detector and descriptor. To help solve this problem, we present a new method for the detection of 3D keypoints on point clouds and we perform benchmarking between each pair of 3D keypoint detector and 3D descriptor to evaluate their performance on object(More)
This paper presents a method for automatic segmentation of images of faces captured in Long Wavelength Infrared (LWIR), allowing a wide range of face rotations, expressions and artifacts (such as glasses and hats). The paper presents a novel high accurate approach and compares its performance against three other previously published methods. The proposed(More)
This paper presents two methods for automatic segmentation of images of faces captured in long wavelength infrared, allowing a wide range of face rotations, expressions and artifacts (such as glasses and hats). We also present the validation of segmentation results using a recognition method to show the impact of the segmentation accuracy on the(More)
We present a new method for the detection of 3D keypoints on point clouds and we perform benchmarking between each pair of 3D keypoint detector and 3D descriptor to evaluate their performance on object and category recognition. Our keypoint detector is inspired by the behavior and neural architecture of the primate visual system. The 3D keypoints are(More)