Generic Model Abstraction from Examples

Model Abstraction from Examples Yakov Keselman, Member, IEEE, and Sven Dickinson, Member, IEEE The recognition community has typically avoided bridging the representational gap between traditional, low-level image features and generic models. Instead, the gap has been artificially eliminated by either bringing the image closer to the models using simple scenes containing idealized, textureless objects or by bringing the models closer to the images using 3D CAD model templates or 2D appearance model templates. In this paper, we attempt to bridge the representational gap for the domain of model acquisition. Specifically, we address the problem of automatically acquiring a generic 2D view-based class model from a set of images, each containing an exemplar object belonging to that class. We introduce a novel graph-theoretical formulation of the problem in which we or the lowest common abstraction among a set of lattices, each representing the space of all possible region groupings in a reg...

• Type: Conference
• Year: 2001
• Where: CVPR
• Authors: Yakov Keselman, Sven J. Dickinson
• Keywords: Appearance Model Templates, Computer Vision, CVPR 2001, Lowest Common Abstraction, Model Abstraction, Representational Gap, View-based Class Model