Filters








138,201 Hits in 7.7 sec

Enabling Users to Guide the Design of Robust Model Fitting Algorithms

Matthias Wimmer, Freek Stulp, Bernd Radig
2007 2007 IEEE 11th International Conference on Computer Vision  
In particular, this paper demonstrates how to obtain robust objective functions for face model fitting applications, by learning their calculation rules from example images annotated by humans.  ...  The computational challenge in model fitting is to determine the model parameters that best match a given image, which corresponds to finding the global optimum of the objective function.  ...  Model fitting with learned objective functions greatly improves the initial face localization (dashed line) that is conducted with the approach of Viola et al.  ... 
doi:10.1109/iccv.2007.4409121 dblp:conf/iccv/WimmerSR07 fatcat:mgxgzygegremvacfo5z2pdagce

An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting

Matthias Wimmer, Shinya Fujie, Freek Stulp, Tetsunori Kobayashi, Bernd Radig
2008 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition  
In this paper, we determine the initial model parameters for AAM fitting with ASM fitting, and use machine learning techniques to improve the scope and accuracy of ASM fitting.  ...  Due to their use of information contained in texture, Active Appearance Models (AAM) generally outperform Active Shape Models (ASM) in terms of fitting accuracy.  ...  To improve the results of ASM fitting, we learn the objective function with machine learning, as described in [6] .  ... 
doi:10.1109/afgr.2008.4813465 dblp:conf/fgr/WimmerFSKR08 fatcat:fqd2yp7xrvg2tpxhweker24ejm

Learning Robust Objective Functions for Model Fitting in Image Understanding Applications

M. Wimmer, F. Stulp, S. J. Tschechne, B. Radig
2006 Procedings of the British Machine Vision Conference 2006  
Fitting algorithms search for those parameters of the model that optimise the objective function given a certain image.  ...  This paper formulates a set of requirements that robust objective functions should satisfy.  ...  Requirements for Robustness We now formulate a set of soft requirements for robust objective functions.  ... 
doi:10.5244/c.20.118 dblp:conf/bmvc/WimmerSTR06 fatcat:f42wvn7cxjhltlh26ursr4bg6i

A real time system for model-based interpretation of the dynamics of facial expressions

Christoph Mayer, Matthias Wimmer, Freek Stulp, Zahid Riaz, Anton Roth, Martin Eggers, Bernd Radig
2008 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition  
The fitting algorithm searches for the model parameters that best describe the visible face, which corresponds to the minimum of the objective function.  ...  As a result, this approach yields more robust and accurate objective functions, which greatly facilitate the task of the associated fitting algorithms.  ... 
doi:10.1109/afgr.2008.4813440 dblp:conf/fgr/MayerWSRRER08 fatcat:spxka5xwb5gznjnhy3lcaa4cf4

Face model fitting based on machine learning from multi-band images of facial components

Matthias Wimmer, Christoph Mayer, Freek Stulp, Bernd Radig
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
This automatic approach is capable of considering the large amount of features provided and yield highly accurate objective functions for face model fitting.  ...  Geometric models allow to determine semantic information about real-world objects. Model fitting algorithms need to find the best match between a parameterized model and a given image.  ...  Conclusion and Outlook In this paper, we propose a novel way to obtain robust objective functions for face model fitting.  ... 
doi:10.1109/cvprw.2008.4563086 dblp:conf/cvpr/WimmerMSR08 fatcat:vdtzu5khbff3hp6a4fvhqthip4

A Model Based Approach for Expressions Invariant Face Recognition [chapter]

Zahid Riaz, Christoph Mayer, Matthias Wimmer, Michael Beetz, Bernd Radig
2009 Lecture Notes in Computer Science  
The novelty lies not only in generation of appearance models which is obtained by fitting active shape model (ASM) to the face image using objective functions but also using a feature vector which is the  ...  The approach follows in 1) modeling an active appearance model (AAM) parameters for the face image, 2) using optical flow based temporal features for facial expression variations estimation, 3) and finally  ...  An objective function is learned for fitting this model to the faces.  ... 
doi:10.1007/978-3-642-01793-3_30 fatcat:5mb7lfoqjnfprmoydgzvcintsq

Enforcing convexity for improved alignment with constrained local models

Yang Wang, Simon Lucey, Jeffrey F. Cohn
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/tracking in comparison to leading holistic approaches (e.g., AAMs).  ...  A major problem hindering the development of CLMs further, for non-rigid object alignment/tracking, is how to jointly optimize the global warp update across all local search responses.  ...  Our approach attempted to model each local response using a convex quadratic function.  ... 
doi:10.1109/cvpr.2008.4587808 pmid:20622926 pmcid:PMC2899725 dblp:conf/cvpr/WangLC08 fatcat:56hx2qc7kja6nd43kjaot5jav4

Non-rigid face tracking with local appearance consistency constraint

Yang Wang, Simon Lucey, Jeffrey F. Cohn, Jason Saragih
2008 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition  
Recent research demonstrates that feature based approaches, such as constrained local models (CLMs), can achieve good performance in non-rigid object alignment/tracking using local region descriptors and  ...  However, the matching performance of the learned generic patch experts is susceptible to local appearance ambiguity.  ...  The authors would like to thank Mark Cox for the helpful discussions. This work was partially supported by the NIH Grant R01 MH051435.  ... 
doi:10.1109/afgr.2008.4813409 fatcat:b7thg3bttnfanlqfn2nqzjzkgm

Non-rigid face tracking with enforced convexity and local appearance consistency constraint

Simon Lucey, Yang Wang, Jason Saragih, Jeffery F. Cohn
2010 Image and Vision Computing  
A CLM is a commonly used model for non-rigid object registration and contains two components: (i) local patch-experts that model the appearance of each landmark in the object, and (ii) a global shape prior  ...  Convex quadratic fitting (CQF) has demonstrated great success recently in the task of non-rigidly registering a face in a still image using a constrained local model (CLM).  ...  Constrained Local Model Fitting Based on the patch experts learned and the point distribution model in Section 2, we can pose non-rigid alignment as the following optimization problem, arg min p k E k  ... 
doi:10.1016/j.imavis.2009.09.009 pmid:25242852 pmcid:PMC4167730 fatcat:ribmcq32sngnpjdvemefqybznm

Face Alignment In-the-Wild: A Survey [article]

Xin Jin, Xiaoyang Tan
2016 arXiv   pre-print
Over the last two decades, face alignment or localizing fiducial facial points has received increasing attention owing to its comprehensive applications in automatic face analysis.  ...  Furthermore, we organize special discussions on the practical aspects of face alignment in-the-wild, towards the development of a robust face alignment system.  ...  Acknowledgment This work is partially supported by National Science Foundation of China (61373060), Qing Lan Project, and the Funding of Jiangsu Innovation Program for Graduate Education (KYLX 0289).  ... 
arXiv:1608.04188v1 fatcat:jttse4u6fbbtrfakuitje5pbhi

Multi-feature fusion in advanced robotics applications

Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd Radig, M. Saquib Sarfraz
2009 Proceedings of the 6th International Conference on Frontiers of Information Technology - FIT '09  
The approach follows in fitting a model to face image using robust objective function and extracting textural and temporal features for three major applications naming 1) face recognition, 2) facial expressions  ...  We study two different models with our proposed approach towards multifeature extraction. These features are efficiently used for human face information extraction for different applications.  ...  In order to fit a model to an image, Van Ginneken et al. learn local objective functions from annotated training images [8] .  ... 
doi:10.1145/1838002.1838039 dblp:conf/fit/RiazMBRS09 fatcat:b75vreufpzf2hgpnb2syii2yx4

Recognizing Facial Expressions Using Model-based Image Interpretation [chapter]

Matthias Wimmer, Zahid Riaz, Christoph Mayer, Bernd Radig
2008 Advances in Human Computer Interaction  
This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer  ...  Our approach achieves real-time performance and provides robustness for realworld applicability.  ...  Furthermore, we learn the objective function for model fitting from example images as opposed to constructing it manually.  ... 
doi:10.5772/5912 fatcat:vigwr3ws35cb5ixdz7e6343qcq

Face Alignment Using a Ranking Model based on Regression Trees

Hua Gao, Hazim Ekenel, Rainer Stiefelhagen
2012 Procedings of the British Machine Vision Conference 2012  
Experiments show that the proposed model improves both robustness and accuracy for face alignment.  ...  The Nelder Mead's simplex method is applied for fitting the learned model. We compare the proposed regression trees-based pointwise ranking model to pairwise ranking model.  ...  Acknowledgments This study is funded by OSEO, French State agency for innovation, as part of the Quaero program; and the "Concept for the Future" of Karlsruhe Institute of Technology within the framework  ... 
doi:10.5244/c.26.118 dblp:conf/bmvc/GaoES12 fatcat:m5agk5mvmzb2nlq4fdtsdsjkzy

Recognizing Facial Expressions Using Model-Based Image Interpretation [chapter]

Matthias Wimmer, Christoph Mayer, Bernd Radig
2009 Lecture Notes in Computer Science  
Our approach achieves real-time performance and provides robustness for realworld applicability.  ...  This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer  ...  Furthermore, we learn the objective function for model fitting from example images as opposed to constructing it manually.  ... 
doi:10.1007/978-3-642-00525-1_33 fatcat:nl4x3vrtgvgohiodpjcitfecem

Facial Expressions Recognition from Image Sequences [chapter]

Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd Radig
2009 Lecture Notes in Computer Science  
We use 2D model based approach for human facial expression recognition. An active shape model (ASM) is fitted to the face image and texture information is extraced.  ...  Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction.  ...  An objective function is learned for fitting this model to the faces.  ... 
doi:10.1007/978-3-642-03320-9_29 fatcat:7xmceuamhvailjeckv75jab6xu
« Previous Showing results 1 — 15 out of 138,201 results