We present a new dataset, ideal for Head Pose and Eye Gaze Estimation algorithm testings. Our dataset was recorded using a monocular system, and no information regarding camera or environment parameters is offered, making the dataset ideal to be tested with algorithms that do not utilize such information and do not require any specific equipment in terms of hardware.
|Title of host publication||Proceedings of the International Workshop on AffectiveAware Virtual Agents and Social Robots AFFINE 09|
|Number of pages||4|
|Publication status||Published - 2009|
|Series||Proceedings of the International Workshop on AffectiveAware Virtual Agents and Social Robots AFFINE 09|
- facial feature tracking
- head pose
- key words