tailieunhanh - Báo cáo hóa học: " Research Article Gabor Directional Binary Pattern: An Image Descriptor for Gaze Estimation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Gabor Directional Binary Pattern: An Image Descriptor for Gaze Estimation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 807612 8 pages doi 2010 807612 Research Article Gabor Directional Binary Pattern An Image Descriptor for Gaze Estimation Hongzhi Ge School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China Correspondence should be addressed to Hongzhi Ge hzge@ Received 27 April 2010 Revised 26 July 2010 Accepted 24 August 2010 Academic Editor William Sandham Copyright 2010 Hongzhi Ge. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. 1. Introduction In HCI Human-Computer Interaction scenario eye gaze means the pointer from the viewer s two eyes to an object and gaze is a very useful natural input modality. Combining with the sign language recognition or speech recognition eye gaze tracking can highly improve usability for the disabled persons and meanwhile it can be applied in some special fields such as .