To date, almost all experimental evaluations of machine learning-based recognition
algorithms in computer vision have taken the form of “closed set” recognition, whereby all …

Deals with an application of image sequence analysis. In particular, it addresses the
problem of determining the number of people who get into and out of a train carriage when it …

Face recognition based on local descriptors has been recently recognized as the state-of-
the-art design framework for problems of facial identification and verification. Given the …

Within the forensics community, there is a growing interest in automatic biometric-based
approaches for describing subjects in an image. By labeling scars, marks and tattoos, a …

The outreach of computer vision to non-traditional areas has enormous potential to enable
new ways of solving real world problems. One such problem is how to incorporate …

传统机器学**方法和深度神经网络在训练模型的过程中都需要大量标记样本作为支撑,
然而标记大量样本是一个耗费巨大的过程, 并且真实场景变化莫测, 获得所有类别的标记样本是 …

Face and eye detection algorithms are deployed in a wide variety of applications.
Unfortunately, there has been no quantitative comparison of how these detectors perform …

As biometric authentication systems become common in everyday use, researchers are
beginning to address privacy issues in biometric recognition. With the growing use of mobile …

In this paper, we take a look at an enhanced approach for eye detection under difficult
acquisition circumstances such as low-light, distance, pose variation, and blur. We present a …

The applications using face biometric has proved its reliability in last decade. In this paper,
we propose DBC based Face Recognition using DWT (DBC-FR) model. The Poly-U Near …