E-mail Alert
RSS2020 Vol. 47, No. 1
Cover Story：Sun R, Kan J S, Wu L W, et al. Rotating invariant face detection via cascaded networks and pyramidal optical flows[J]. Opto-Electronic Engineering, 2020, 47(1): 190135
With the rapid popularization of video surveillance in urban space, the public security department has collected a large amount of video in an unconstrained open environment. Face detection in video streams has complex problems such as scale changes, partial occlusion, motion blur, and lighting changes, especially face rotation will affect the performance and efficiency of the entire face recognition system. The research team led by Professor Sun Rui of Hefei University of Technology combined the landmark of the face with the optical flow of the pyramid for the in-plane rotation problem of face detection in the video stream. The rotation-invariant algorithm based on cascaded network and pyramid optical flow is proposed.
-
{{article.year}}, {{article.volume}}({{article.issue}}): {{article.fpage | processPage:article.lpage:6}}. doi: {{article.doi}}{{article.articleStateNameEn}}, Published online {{article.preferredDate | date:'dd MMMM yyyy'}}, doi: {{article.doi}}{{article.articleStateNameEn}}, Accepted Date {{article.acceptedDate | date:'dd MMMM yyyy'}}CSTR: {{article.cstr}}
-
{{article.year}}, {{article.volume}}({{article.issue}}): {{article.fpage | processPage:article.lpage:6}}. doi: {{article.doi}}{{article.articleStateNameEn}}, Published online {{article.preferredDate | date:'dd MMMM yyyy'}}, doi: {{article.doi}}{{article.articleStateNameEn}}, Accepted Date {{article.acceptedDate | date:'dd MMMM yyyy'}}CSTR: {{article.cstr}}
Prof. Xiangang Luo
