Feng, Zhenhua, Huber, Patrik orcid.org/0000-0002-1474-1040, Kittler, Josef et al. (2 more authors) (2015) Random Cascaded-Regression Copse for Robust Facial Landmark Detection. IEEE Signal Processing Letters. pp. 76-80. ISSN 1070-9908
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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | 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. |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 06 Nov 2019 13:10 |
Last Modified: | 24 Oct 2024 00:07 |
Published Version: | https://doi.org/10.1109/LSP.2014.2347011 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/LSP.2014.2347011 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153109 |