Single image face orientation and gaze detection
We introduce a system to compute both head orientation and gaze detection from a single image. The system uses a camera with fixed parameters and requires no user calibration. Our approach to head orientation is based on a geometrical model of the human face, and is derived form morphological and ph...
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| Veröffentlicht in: | Machine vision and applications 2009-11, Vol.21 (1), p.85-98 |
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| container_end_page | 98 |
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| container_issue | 1 |
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| container_title | Machine vision and applications |
| container_volume | 21 |
| creator | Kaminski, Jeremy Yrmeyahu Knaan, Dotan Shavit, Adi |
| description | We introduce a system to compute both head orientation and gaze detection from a single image. The system uses a camera with fixed parameters and requires no user calibration. Our approach to head orientation is based on a geometrical model of the human face, and is derived form morphological and physiological data. Eye gaze detection is based on a geometrical model of the human eye. Two new algorithms are introduced that require either two or three feature points to be extracted from each image. Our algorithms are robust and run in real-time on a typical PC, which makes our system useful for a large variety of needs, from driver attention monitoring to machine-human interaction. |
| doi_str_mv | 10.1007/s00138-008-0143-1 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0932-8092 |
| ispartof | Machine vision and applications, 2009-11, Vol.21 (1), p.85-98 |
| issn | 0932-8092 1432-1769 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_907957324 |
| source | Springer Nature - Complete Springer Journals |
| subjects | Algorithms Calibration Communications Engineering Computer Science Drivers Human Image Processing and Computer Vision Machine vision Monitoring Networks Orientation Original Paper Pattern Recognition |
| title | Single image face orientation and gaze detection |
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