Facial landmark localization based on hierarchical pose regression with cascaded random ferns

ACM Multimedia 2001, 2013.

Cited by: 6|Bibtex|Views24|DOI:https://doi.org/10.1145/2502081.2502148
EI WOS SCOPUS
Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

The main challenge of facial landmark localization in real-world application is that the large changes of head pose and facial expressions cause substantial image appearance variations. To avoid high dimensional regression in the 3D and 2D facial pose spaces simultaneously, we propose a hierarchical pose regression approach, estimating th...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments