Human Skin detection is one of the most widely used algorithms in vision literature which
has been numerously exploited both directly and indirectly in multifarious applications. This …

Recently, many existing automatic facial verification methods have focused on learning the
optimal distance measurements between facials. Especially in the case of learning facial …

Face and kinship verification using facial images is a novel and challenging problem in
computer vision. In this paper, we propose a new system that uses discriminative …

As a young research field, the machine learning has made significant progress and covered
a broad spectrum of applications for the last few decades. Classification is an important task …

To achieve the problem of partial occlusion and multi-pose in the face detection, a face
detection algorithm based on deep learning is proposed. Through establishing deep model …

In this paper, we introduce an efficient linear similarity learning system for face verification.
Humans can easily recognize each other by their faces and since the features of the face are …

Some of the simplest tasks for a human to accomplish are the most difficult for a machine to
solve. Face recognition is an example of this type of problem. Researchers have been …

This paper presents an algorithm that detects faces and facial features (eyes, nose and
mouth) on images captured by CCTV system under various imaging conditions, such as …

3D face recognition has gained increasing research attention among researchers in recent
years. In comparison to its 2D counterparts, 3D face recognition systems have the potential …

摘要针对人脸检测中的部分遮挡和多姿态问题, 提出一种基于深度学习的人脸检测算法.
首先利用部件检测器检测人脸局部区域, 然后将人脸局部区域检测结果输入到深度模型中 …