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Enabling Users to Guide the Design of Robust Model Fitting Algorithms
2007
2007 IEEE 11th International Conference on Computer Vision
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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
2008
2008 8th IEEE International Conference on Automatic Face & Gesture Recognition
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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
2006
Procedings of the British Machine Vision Conference 2006
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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
2008
2008 8th IEEE International Conference on Automatic Face & Gesture Recognition
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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
2008
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
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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]
2009
Lecture Notes in Computer Science
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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
2008
2008 IEEE Conference on Computer Vision and Pattern Recognition
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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
2008
2008 8th IEEE International Conference on Automatic Face & Gesture Recognition
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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
2010
Image and Vision Computing
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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]
2016
arXiv
pre-print
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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
2009
Proceedings of the 6th International Conference on Frontiers of Information Technology - FIT '09
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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]
2008
Advances in Human Computer Interaction
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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
2012
Procedings of the British Machine Vision Conference 2012
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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]
2009
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
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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]
2009
Lecture Notes in Computer Science
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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
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