TY - JOUR
T1 - Random Cascaded-Regression Copse for Robust Facial Landmark Detection
AU - Feng, Zhenhua
AU - Huber, Patrik
AU - Kittler, Josef
AU - Christmas, William
AU - Wu, Xiao-Jun
N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
PY - 2015/1
Y1 - 2015/1
N2 - In this letter, we present a random cascaded-regression copse (R-CR-C) for robust facial landmark detection. Its key innovations include a new parallel cascade structure design, and an adaptive scheme for scale-invariant shape update and local feature extraction. Evaluation on two challenging benchmarks shows the superiority of the proposed algorithm to state-of-the-art methods.
AB - In this letter, we present a random cascaded-regression copse (R-CR-C) for robust facial landmark detection. Its key innovations include a new parallel cascade structure design, and an adaptive scheme for scale-invariant shape update and local feature extraction. Evaluation on two challenging benchmarks shows the superiority of the proposed algorithm to state-of-the-art methods.
UR - http://www.scopus.com/inward/record.url?scp=84906748350&partnerID=8YFLogxK
U2 - 10.1109/LSP.2014.2347011
DO - 10.1109/LSP.2014.2347011
M3 - Letter
SN - 1070-9908
VL - 22
SP - 76
EP - 80
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 1
ER -