Abstract
Fiducial Point Location Algorithm for Automatic Facial Expression Recognition
Highlights
The algorithms reported in literature can be classified into color-based and shape-based
The shape-based approaches look for specific shapes in the image adopting either template matching, graph matching [7], snakes [8], or the Hough transform [9]
In this paper we describe a technique which uses both color and shape information to automatically identify a set of feature fiducial points with great reliability
Summary
The algorithms reported in literature can be classified into color-based and shape-based. The shape-based approaches look for specific shapes in the image adopting either template matching (with deformable templates [5] or not [6]), graph matching [7], snakes [8], or the Hough transform [9]. These methods give good results, they are computationally expensive and they often work only under restricted assumptions (regarding the head position and the illumination conditions). Results on a database of 200 color images, taken at different orientations, illumination conditions and resolution are reported and discussed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
