|Autors: Martin Penev., Boumbarov, O. L.|
Title: Facial Landmarks Detection using Linear Regression and SIFT
Keywords: Facial Landmark Extraction, Facial Features, SIFT, Linear Regression
Abstract: Accurate detection of facial components is an important operation which reflects numerous applications based on face analysis. Hence, there is a great demand on real-time algorithms for detection of face components. In this paper we propose a fast method with relatively low computational complexity, which achieves excellent results, comparable to those of the state-of-the-art methods.
Copyright Computer and communications engineering
Вид: статия в списание, публикация в реферирано издание
Въведена от: доц. д-р Агата Христова Манолова