DocumentCode :
248174
Title :
Fast eye localization without a face model using inner product detectors
Author :
Araujo, G.M. ; Ribeiro, F.M.L. ; Silva, E.A.B. ; Goldenstein, S.K.
Author_Institution :
Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
1366
Lastpage :
1370
Abstract :
Many applications in the area of human-machine interaction require accurate and fast facial landmarks localization. Non-invasive techniques are even more essential when the goal is social inclusion. In this work, we propose a novel approach for the detection of landmarks on faces. We introduce a new detector, the Inner Product Detector (IPD), based on correlation filters. The main advantages of the proposed method are the tolerance to small variance on the desired patterns, a low computational cost, and the generalization for other features. We evaluate our method using the BioID dataset and compare it to the state-of-the-art techniques.
Keywords :
correlation methods; face recognition; gaze tracking; image filtering; man-machine systems; BioID dataset; IPD; correlation filter; face landmark detection; fast eye localization; fast facial landmark localization; feature generalization; human-machine interaction; inner product detector; low computational cost; noninvasive technique; social inclusion; Correlation; Detectors; Face; Face recognition; Lighting; Training; Eye localization; Facial features; Landmark localization; Object detection; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025273
Filename :
7025273
Link To Document :
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