Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis
Thesis (Ph.D. in Computational Cognitive Science)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2002.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/29243 |
| _version_ | 1811083186990481408 |
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| author | Kumar, Vinay P. (Vinay Prasanna), 1972- |
| author2 | Tomaso Poggio. |
| author_facet | Tomaso Poggio. Kumar, Vinay P. (Vinay Prasanna), 1972- |
| author_sort | Kumar, Vinay P. (Vinay Prasanna), 1972- |
| collection | MIT |
| description | Thesis (Ph.D. in Computational Cognitive Science)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2002. |
| first_indexed | 2024-09-23T12:26:17Z |
| format | Thesis |
| id | mit-1721.1/29243 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:26:17Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/292432019-04-12T07:49:16Z Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis Towards man-machine interfaces : combining top-down constraints with bottom-up learning Kumar, Vinay P. (Vinay Prasanna), 1972- Tomaso Poggio. Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences. Massachusetts Institute of Technology. Dept. of Brain and Cognitive Sciences. Brain and Cognitive Sciences. Thesis (Ph.D. in Computational Cognitive Science)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2002. Includes bibliographical references (leaves 72-[77]). This thesis proposes a miethodology for the design of man-machine interfaces by combining top-down and bottom-up processes in vision. From a computational perspective, we propose that the scientific-cognitive question of combining top-down and bottom-up knowledge is similar to the engineering question of labeling a training set in a supervised learning problem. We investigate these questions in the realm of facial analysis. We propose the use of a linear morphable model (LMM) for representing top-down structure and use it to model various facial variations such as mouth shapes and expression, the pose of faces and visual speech (visemes). We apply a supervised learning method based on support vector machine (SVM) regression for estimating the parameters of LMMs directly from pixel-based representations of faces. We combine these methods for designing new, more self-contained systems for recognizing facial expressions, estimating facial pose and for recognizing visemes. by Vinay P. Kumar. Ph.D.in Computational Cognitive Science 2005-10-14T19:24:06Z 2005-10-14T19:24:06Z 2002 2002 Thesis http://hdl.handle.net/1721.1/29243 51641245 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 72, [5] leaves 3717108 bytes 3716915 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Brain and Cognitive Sciences. Kumar, Vinay P. (Vinay Prasanna), 1972- Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis |
| title | Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis |
| title_full | Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis |
| title_fullStr | Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis |
| title_full_unstemmed | Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis |
| title_short | Towards trainable man-machine interfaces : combining top-down constraints with bottom-up learning in facial analysis |
| title_sort | towards trainable man machine interfaces combining top down constraints with bottom up learning in facial analysis |
| topic | Brain and Cognitive Sciences. |
| url | http://hdl.handle.net/1721.1/29243 |
| work_keys_str_mv | AT kumarvinaypvinayprasanna1972 towardstrainablemanmachineinterfacescombiningtopdownconstraintswithbottomuplearninginfacialanalysis AT kumarvinaypvinayprasanna1972 towardsmanmachineinterfacescombiningtopdownconstraintswithbottomuplearning |