Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection

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Title: Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection
Authors: Eleftheriadis, S
Rudovic, O
Pantic, M
Item Type: Conference Paper
Abstract: © 2015 IEEE.We propose a novel multi-conditional latent variable model for simultaneous facial feature fusion and detection of facial action units. In our approach we exploit the structure-discovery capabilities of generative models such as Gaussian processes, and the discriminative power of classifiers such as logistic function. This leads to superior performance compared to existing classifiers for the target task that exploit either the discriminative or generative property, but not both. The model learning is performed via an efficient, newly proposed Bayesian learning strategy based on Monte Carlo sampling. Consequently, the learned model is robust to data overfitting, regardless of the number of both input features and jointly estimated facial action units. Extensive qualitative and quantitative experimental evaluations are performed on three publicly available datasets (CK+, Shoulder-pain and DISFA). We show that the proposed model outperforms the state-of-the-art methods for the target task on (i) feature fusion, and (ii) multiple facial action unit detection.
Issue Date: 13-Dec-2015
Date of Acceptance: 29-Aug-2015
ISSN: 1550-5499
Publisher: IEEE
Start Page: 3792
End Page: 3800
Journal / Book Title: Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Commission of the European Communities
Commission of the European Communities
Funder's Grant Number: 611153
Conference Name: International Conference on Computer Vision
Publication Status: Published
Start Date: 2015-12-07
Finish Date: 2015-12-13
Conference Place: Santiago, Chile
Appears in Collections:Faculty of Engineering

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