Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection

Abstract

A novel statistical shape prior model based on level set representations is proposed in this paper for robust object detection by geodesic active contours. This prior model is able to accommodate multiple shape states of objects. The level set representations (signed distance map) of the shapes are considered to form distinct clusters in a low dimensional… (More)
DOI: 10.1109/ICPR.2006.1158

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