Random Cascaded-Regression Copse for Robust Facial Landmark Detection

Zhenhua Feng, Patrik Huber, Josef Kittler, William Christmas, Xiao-Jun Wu

Research output: Contribution to journalLetterpeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)76-80
Number of pages5
JournalIEEE Signal Processing Letters
Volume22
Issue number1
Early online date13 Aug 2014
DOIs
Publication statusPublished - Jan 2015

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