首页>
外国专利>
Face recognition and image search system using sparse feature vectors, compact binary vectors, and sub-linear search
Face recognition and image search system using sparse feature vectors, compact binary vectors, and sub-linear search
展开▼
机译:使用稀疏特征向量,紧凑二进制向量和亚线性搜索的人脸识别和图像搜索系统
展开▼
页面导航
摘要
著录项
相似文献
摘要
Systems and methods are provided for performing automated face recognition and comparison. An input image of a face may be received and cropped, and the image may be processed through a deep neural network (DNN) to produce a k-dimensional feature vector. The k-dimensional feature vector may be converted to a k-dimensional binary vector by transforming each value in the vector to either 1 or 0. To search for nearest matches of the image in a database of gallery images of faces, the system may compare sub-strings of the binary vector to hash tables created from sub-strings of the gallery images, enabling sub-linear searching that allows locating the closest matches from among the entire gallery without requiring an exhaustive linear search of the entire gallery.
展开▼