title: Guiding ziplock snakes with a priori information.
abstract: In this paper, we present a method to combine a grammatical model that encodes a priori shape information with the ziplock snakes presented by Neuenschwander et al. A competing mechanism is adopted to take advantage of the shape models without inducing excessive computation. The resulting model-based ziplock snakes have many advantages over the original model: they can accurately locate contour features, produce more refined results, and deal with multiple contours, missing image cues, and noise.
authors.affiliation: Dept. of Comput. Sci., Univ. of Alberta, Edmonton, Alta., Canada. jiankang@cs.ualberta.ca
authors.forename: Jiankang
authors.initials: J
authors.lastname: Wang
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Li