Optimization problems for fast AAM fitting in-the-wild
We describe a very simple framework for deriving the most-well known optimization problems in Active Appearance Models (AAMs), and most importantly for providing efficient solutions. Our formulation results in two optimization problems for fast and exact AAM fitting, and one new algorithm which has...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Online Access: | https://eprints.nottingham.ac.uk/31433/ |
| _version_ | 1848794200643993600 |
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| author | Tzimiropoulos, Georgios Pantic, Maja |
| author_facet | Tzimiropoulos, Georgios Pantic, Maja |
| author_sort | Tzimiropoulos, Georgios |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We describe a very simple framework for deriving the most-well known optimization problems in Active Appearance Models (AAMs), and most importantly for providing efficient solutions. Our formulation results in two optimization problems for fast and exact AAM fitting, and one new algorithm which has the important advantage of being applicable to 3D. We show that the dominant cost for both forward and inverse algorithms is a few times mN which is the cost of projecting an image onto the appearance subspace. This makes both algorithms not only computationally realizable but also very attractive speed-wise for most current systems. Because exact AAM fitting is no longer computationally prohibitive, we trained AAMs in-the-wild with the goal of investigating whether AAMs benefit from such a training process. Our results show that although we did not use sophisticated shape priors, robust features or robust norms for improving performance, AAMs perform notably well and in some cases comparably with current state-of- the-art methods. We provide Matlab source code for training, fitting and reproducing the results presented in this paper at http://ibug.doc.ic.ac.uk/resources. |
| first_indexed | 2025-11-14T19:12:25Z |
| format | Conference or Workshop Item |
| id | nottingham-31433 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:25Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-314332020-05-04T20:20:55Z https://eprints.nottingham.ac.uk/31433/ Optimization problems for fast AAM fitting in-the-wild Tzimiropoulos, Georgios Pantic, Maja We describe a very simple framework for deriving the most-well known optimization problems in Active Appearance Models (AAMs), and most importantly for providing efficient solutions. Our formulation results in two optimization problems for fast and exact AAM fitting, and one new algorithm which has the important advantage of being applicable to 3D. We show that the dominant cost for both forward and inverse algorithms is a few times mN which is the cost of projecting an image onto the appearance subspace. This makes both algorithms not only computationally realizable but also very attractive speed-wise for most current systems. Because exact AAM fitting is no longer computationally prohibitive, we trained AAMs in-the-wild with the goal of investigating whether AAMs benefit from such a training process. Our results show that although we did not use sophisticated shape priors, robust features or robust norms for improving performance, AAMs perform notably well and in some cases comparably with current state-of- the-art methods. We provide Matlab source code for training, fitting and reproducing the results presented in this paper at http://ibug.doc.ic.ac.uk/resources. 2013 Conference or Workshop Item PeerReviewed Tzimiropoulos, Georgios and Pantic, Maja (2013) Optimization problems for fast AAM fitting in-the-wild. In: 2013 IEEE International Conference on Computer Vision (ICCV), 2-8 Dec 2013, Sydney, Australia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6751183&filter=AND%28p_Publication_Number:6750807%29 |
| spellingShingle | Tzimiropoulos, Georgios Pantic, Maja Optimization problems for fast AAM fitting in-the-wild |
| title | Optimization problems for fast AAM fitting in-the-wild |
| title_full | Optimization problems for fast AAM fitting in-the-wild |
| title_fullStr | Optimization problems for fast AAM fitting in-the-wild |
| title_full_unstemmed | Optimization problems for fast AAM fitting in-the-wild |
| title_short | Optimization problems for fast AAM fitting in-the-wild |
| title_sort | optimization problems for fast aam fitting in-the-wild |
| url | https://eprints.nottingham.ac.uk/31433/ https://eprints.nottingham.ac.uk/31433/ |