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Random Cascaded-Regression Copse for Robust Facial Landmark Detection

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Author(s)

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

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Publication details

JournalIEEE Signal Processing Letters
DateE-pub ahead of print - 13 Aug 2014
DatePublished (current) - Jan 2015
Issue number1
Volume22
Number of pages5
Pages (from-to)76-80
Early online date13/08/14
Original languageEnglish

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.

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