Domestic And Foreign Face Recognition Research Hotspot And Research Development Trend Comparative Analysis

With the rapid development of science and technology,the face recognition technology in the field of computer vision is making breakthroughs,and its application field is becoming more and more extensive.Especially in the daily life closely related to human beings,the convenience brought by technology greatly improves the efficiency of human life.By capturing face images,cutting-edge technologies are used to analyze and accurately identify the images.Mastering the efficient method is the core of the improvement of face recognition technology,and it is also the trend of the further development of face recognition technology.Sorting out the research trends and hot spots in the field of face recognition is helpful for researchers to acquire new technologies and ideas in this field.This article mainly face recognition inscription,known in China on the web and web of science to retrieve core periodical literature in recent 10 years at home and abroad,and Bicomb2 statistical analysis software SPSS,the keyword extraction journals and journal name,using word frequency analysis and word analysis the paper summarizes the extracted data,frequency of keywords and keyword points chronology,and draw a family tree clustering,class,group strategy coordinate diagram and multidimensional scaling analysis diagram to analyze the relationship between the research hot spot.From the results of comparative analysis of research hotspots,domestic scholars in the field of face recognition focus on theoretical research and basic research.For example,feature extraction,feature fusion and other basic theories.Foreign scholars pay more attention to the application of face recognition technology in the field of research,pay more attention to the application of face recognition technology.These include applications in the medical field,emotion recognition and so on.According to the research trends in the field of face recognition,more attention will be paid to the preprocessing of initial image data in the future in the field of face recognition at home and abroad to reduce experimental errors.The wide application of deep learning theory and the field of 3D face recognition will be the key research field of face recognition in the future.