Region-Based Feature Interpretation for Recognizing 3D Models in 2D Images
Citable URI:
http://hdl.handle.net/1721.1/7039
| Title: | Region-Based Feature Interpretation for Recognizing 3D Models in 2D Images |
| Author: | Clemens, David T. |
| Issue Date: | 1991-06-01 |
| Abstract: | 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. |
| URI: | http://hdl.handle.net/1721.1/7039 |
| Other Identifiers: | AITR-1307 |
| Series/Report no.: | AITR-1307 |
Files in this item
| Files | Size | Format |
|---|---|---|
| AITR-1307.pdf | 8.247Mb | application/pdf |
| AITR-1307.ps | 22.41Mb | application/postscript |
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