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Displaying 1-9 out of 9 total
Applications of Face Analysis and Modeling in Media Production
Found in: IEEE MultiMedia
By Darren Cosker,Peter Eisert,Oliver Grau,Peter J.B. Hancock,Jonathan McKinnell,Eng-Jon Ong
Issue Date:October 2013
pp. 18-27
Facial expressions play an important role in day-by-day communication as well as media production. This article surveys automatic facial analysis and modeling methods using computer vision techniques and their applications for media production. The authors...
 
Sign Language Recognition using Sequential Pattern Trees
Found in: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Eng-Jon Ong,H. Cooper,N. Pugeault,R. Bowden
Issue Date:June 2012
pp. 2200-2207
This paper presents a novel, discriminative, multi-class classifier based on Sequential Pattern Trees. It is efficient to learn, compared to other Sequential Pattern methods, and scalable for use with large classifier banks. For these reasons it is well su...
 
Robust Facial Feature Tracking Using Shape-Constrained Multiresolution-Selected Linear Predictors
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Eng-Jon Ong, Richard Bowden
Issue Date:September 2011
pp. 1844-1859
This paper proposes a learned data-driven approach for accurate, real-time tracking of facial features using only intensity information. The task of automatic facial feature tracking is nontrivial since the face is a highly deformable object with large tex...
 
Learning Wormholes for Sparsely Labelled Clustering
Found in: Pattern Recognition, International Conference on
By Eng-Jon Ong, Richard Bowden
Issue Date:August 2006
pp. 916-919
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance function using available training data. Many existing distance functions is th...
 
A Boosted Classifier Tree for Hand Shape Detection
Found in: Automatic Face and Gesture Recognition, IEEE International Conference on
By Eng-Jon Ong, Richard Bowden
Issue Date:May 2004
pp. 889
The ability to detect a persons unconstrained hand in a natural video sequence has applications in sign language, gesture recognition and HCI. This paper presents a novel, unsupervised approach to training an efficient and robust detector which is capable ...
 
Tracking Hybrid 2D-3D Human Models from Multiple Views
Found in: Modeling People, IEEE International Workshop on
By Eng-Jon Ong, Shaogang Gong
Issue Date:September 1999
pp. 11
A novel framework is proposed under which robust matching and tracking of a 3D skeleton model of a human body from multiple views can be performed. We pro-pose a method for measuring the ambiguity of 2D measurements provided by each view. The ambiguity mea...
 
Improving recognition and identification of facial areas involved in Non-Verbal Communication by feature selection
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Tim Sheerman-Chase,Eng-Jon Ong,Nicolas Pugeault,Richard Bowden
Issue Date:April 2013
pp. 1-8
Meaningful Non-Verbal Communication (NVC) signals can be recognised by facial deformations based on video tracking. However, the geometric features previously used contain a significant amount of redundant or irrelevant information. A feature selection met...
   
Accurate static pose estimation combining direct regression and geodesic extrema
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Brian Holt,Eng-Jon Ong,Richard Bowden
Issue Date:April 2013
pp. 1-7
Human pose estimation in static images has received significant attention recently but the problem remains challenging. Using data acquired from a consumer depth sensor, our method combines a direct regression approach for the estimation of rigid body part...
   
Non-linear predictors for facial feature tracking across pose and expression
Found in: 2013 10th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2013)
By Tim Sheerman-Chase,Eng-Jon Ong,Richard Bowden
Issue Date:April 2013
pp. 1-8
This paper proposes a non-linear predictor for estimating the displacement of tracked feature points on faces that exhibit significant variations across pose and expression. Existing methods such as linear predictors, ASMs or AAMs are limited to a narrow r...
   
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