Sandikci, Esra NurEroglu Erdem, CigdemUlukaya, Sezer2024-06-122024-06-122018978-1-5386-1501-02165-0608https://hdl.handle.net/20.500.14551/2100426th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYFace analysis is a rapidly developing research area and facial landmark detection is one of the pre-processing steps. In recent years, many algorithms and comprehensive survey/challenge papers have been published on facial landmark detection. In this work, we analysed six survey/challenge papers and observed that among open source systems deep learning (TCDCN, DCR) and regression based (CFSS) methods show superior performance.trinfo:eu-repo/semantics/closedAccessFace AnalysisFacial LandmarksFace AlignmentConference ObjectN/AWOS:0005114485002102-s2.0-85050795129N/A