An improved active shape model: Handling occlusion and outliers
An improvement of the Active Shape procedure identifying new examples of previously learned shapes using the point distribution model is presented. The novel segmentation and interpretation approach incorporates a priori knowledge about the objects of interest and their specific structural relationships to provide robust segmentation and labeling.
The method was utilized to successfully identify 10 neuroanatomic structures in 19 individual MR images and 2 car classes (left-right and right-left oriented) in 400 perspective images of street scenes.
KeywordsOutlier Detection Shape Model Active Shape Model Outlier Removal Perspective Image
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