These are some "quick citations"; I skimmed these papers to get a quick gist of what they do.
"Estimation of the chin and cheek contours for precise face model adaptation" by Kampmann: The goal is to determine the chin and cheek contours.
They assume they know where the eyes and mouth are, and use this to find the probable location of the chin. They then use local gradient information to find three points on the chin (high gradient means likely chin boundary). They then fit a curve to these three points and call it the chin boundary.
To determine cheek boundaries (the boundary above and to either side of the chin), they use a similar technique.
They appear to use only frontal facing images.
"Ear Biometrics in Computer Vision" by Burge and Burger: Model ears as a graph built from a Voronoi diagram of ear segments. Use a novel graph distance function.
"Force Field Feature Extraction for Ear Biometrics" by Hurley: This is a thesis. Pixels in the the image of an ear are treated like point masses, and the gravitational field is somehow used to construct a descriptor.
No comments:
Post a Comment