Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models

Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models

In this paper, we aim to improve one of the current state-of-the-art models for facial components detection/localization. The objectives are to increase the amount of landmark points detected and improve the landmark extraction accuracy for frontal faces. The model is following Zhu and Ramanan'...

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Bibliographic Details
Main Authors: Liang, Antoni, Liu, Wan-Quan, Li, Ling, Farid, M., Le, V.
Other Authors: Prof. Michael Felsberg, Linköping University
Format: Conference Paper
Published: I E E E Computer Society 2014
Subjects:
CompASM. fiducial points
landmark points
landmark extraction accuracy
AR dataset
RGB
facial components detection/localization
Zhu and Ramanan's frontal face models
tree-structure
Online Access:http://hdl.handle.net/20.500.11937/19239

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