Region-Based Feature Interpretation for Recognizing 3D Models in 2D Images

Title: en_US Region-Based Feature Interpretation for Recognizing 3D Models in 2D Images
Creator: en_US Clemens, David T.
Date: 2004-10-20T20:23:24Z
Date Available: 2004-10-20T20:23:24Z
Date Issued: en_US 1991-06-01
Identifier: en_US AITR-1307
uri: http://hdl.handle.net/1721.1/7039
Abstract: en_US In model-based vision, there are a huge number of possible ways to match model features to image features. In addition to model shape constraints, there are important match-independent constraints that can efficiently reduce the search without the combinatorics of matching. I demonstrate two specific modules in the context of a complete recognition system, Reggie. The first is a region-based grouping mechanism to find groups of image features that are likely to come from a single object. The second is an interpretive matching scheme to make explicit hypotheses about occlusion and instabilities in the image features.
Extent: 22413823 bytes; 8247283 bytes
Format: application/postscript; application/pdf
Language: en_US
Relation: en_US AITR-1307