Detection of Facial Landmarks using Encoder-Decoder Network

Facial landmark detection has achieved great performance by learning distinct features from the rich deformation of face shapes and poses. The facial landmarks such as eye centres, nose centres, jawlines, etc are localized to provide crucial information to various computer vision-related applications. The paper proposes an encoder-decoder network for detecting facial landmarks on the detected faces from digital images or video.