With millions of users and billions of photos, web-scale face recognition is a challenging task
that demands speed, accuracy, and scalability. Most current approaches do not address and …

Monitoring heart rates using conventional electrocardiogram equipment requires patients to
wear adhesive gel patches or chest straps that can cause skin irritation and discomfort …

为解决基于Haar-like 特征的Adaboost 人脸检测方法存在的特征计算复杂度较高的问题,
提出两组Haar-like 特征扩展集; 利用积分图给出特征组的计算方法; 采用Adaboost …

Face recognition is one of the most suitable applications of image analysis. It'sa true
challenge to build an automated system which equals human ability to recognize faces …

РАЗРАБОТКА АЛГОРИТМА ОПРЕДЕЛЕНИЯ ПОЛОЖЕНИЯ И ОРИЕНТАЦИИ 3D-ОБЪЕКТОВ
НА ОСНОВЕ ИЗВЛЕЧЕНИЯ ГРАДИЕНТНЫХ ОСОБЕННОСТЕЙ ИЗОБРАЖЕНИЯ – тема …

Face recognition performance can be improved when face images are first classified into
categories and then analysed with category-specific descriptors. One such category is …

由于监控摄像头的安装位置相对零散且位置偏高, 以及犯罪嫌疑人故意躲避等因素,
监控录像通常不能抓取到犯罪嫌疑人的正面图像. 因此, 自动从海量监控录像数据中识别不同 …

The self-organizing map (SOM) is a traditional neural network algorithm used to achieve
feature extraction, clustering, visualization and data exploration. However, it is known that …

Illumination variation that span globally and locally across the facial surface is one of the
most important aspect in designing a robust face recognition system. The illumination …

Automated person recognition (APR) based on biometric signals addresses the process of
automatically recognize a person according to his physiological traits (face, voice, iris …