FreeGaze: a gaze tracking system for everyday gaze interaction
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Real-Time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
An Incremental Learning Method for Unconstrained Gaze Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
IEEE Transactions on Pattern Analysis and Machine Intelligence
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Hi-index | 0.00 |
This paper proposes an image descriptor, Gabor Directional Binary Pattern (GDBP), for robust gaze estimation. In GDBP, Gabor magnitude information is extracted firstly from a cropped subimage. The local directional derivations are then utilized to encode the binary patterns in the given orientations. As an image descriptor, GDBP can suppress noises and robustness to illumination variations. Meanwhile, the encoding pattern can emphasize boundary. We use the GDBP features of eye regions and adopt the Support Vector Regression (SVR) to approximate the gaze mapping function, which is then used to predict the gaze direction with respect to the camera coordinate system. In the person-independent experiments, our dataset includes 4089 samples of 11 persons. Experimental results show that the gaze estimation can achieve an accuracy of less than 2° by using the proposed GDBP and SVR.