Fast and exact bi-directional fitting of active appearance models
Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a new image are based on Gauss-Newton (GN) optimizat...
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| Format: | Conference or Workshop Item |
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2015
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| Online Access: | https://eprints.nottingham.ac.uk/31443/ |
| _version_ | 1848794203873607680 |
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| author | Kossaifi, Jean Tzimiropoulos, Georgios Pantic, Maja |
| author_facet | Kossaifi, Jean Tzimiropoulos, Georgios Pantic, Maja |
| author_sort | Kossaifi, Jean |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a new image are based on Gauss-Newton (GN) optimization. Recently fast GN algorithms have been proposed for both forward additive and inverse compositional fitting frameworks. In this paper, we propose a fast and exact bi-directional (Fast-Bd) approach to AAM fitting by combining both approaches. Although such a method might appear to increase computational burden, we show that by capitalizing on results from optimization theory, an exact solution, as computationally efficient as the original forward or inverse formulation, can be derived. Our proposed bi-directional approach achieves state-of-the-art performance and superior convergence properties. These findings are validated on two challenging, in-the-wild data sets, LFPW and Helen, and comparison is provided to the state-of-the art methods for Active Appearance Models fitting. |
| first_indexed | 2025-11-14T19:12:28Z |
| format | Conference or Workshop Item |
| id | nottingham-31443 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:12:28Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-314432020-05-04T17:16:20Z https://eprints.nottingham.ac.uk/31443/ Fast and exact bi-directional fitting of active appearance models Kossaifi, Jean Tzimiropoulos, Georgios Pantic, Maja Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a new image are based on Gauss-Newton (GN) optimization. Recently fast GN algorithms have been proposed for both forward additive and inverse compositional fitting frameworks. In this paper, we propose a fast and exact bi-directional (Fast-Bd) approach to AAM fitting by combining both approaches. Although such a method might appear to increase computational burden, we show that by capitalizing on results from optimization theory, an exact solution, as computationally efficient as the original forward or inverse formulation, can be derived. Our proposed bi-directional approach achieves state-of-the-art performance and superior convergence properties. These findings are validated on two challenging, in-the-wild data sets, LFPW and Helen, and comparison is provided to the state-of-the art methods for Active Appearance Models fitting. 2015-09-28 Conference or Workshop Item PeerReviewed Kossaifi, Jean, Tzimiropoulos, Georgios and Pantic, Maja (2015) Fast and exact bi-directional fitting of active appearance models. In: IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada. active appearance models Gauss-Newton forward additive inverse compositional bi-directional fitting |
| spellingShingle | active appearance models Gauss-Newton forward additive inverse compositional bi-directional fitting Kossaifi, Jean Tzimiropoulos, Georgios Pantic, Maja Fast and exact bi-directional fitting of active appearance models |
| title | Fast and exact bi-directional fitting of active appearance models |
| title_full | Fast and exact bi-directional fitting of active appearance models |
| title_fullStr | Fast and exact bi-directional fitting of active appearance models |
| title_full_unstemmed | Fast and exact bi-directional fitting of active appearance models |
| title_short | Fast and exact bi-directional fitting of active appearance models |
| title_sort | fast and exact bi-directional fitting of active appearance models |
| topic | active appearance models Gauss-Newton forward additive inverse compositional bi-directional fitting |
| url | https://eprints.nottingham.ac.uk/31443/ |