Abstract
A 3D reconstruction method adapted to regular objects was proposed. Firstly, sufficient feature points were obtained through feature extracting and cross matching process of some photos at different angles taken from an object. In order to delete some mis-matched points generated in matching process, a distribution matching strategy was used based on similarity measurement of covariance. Then the space point reconstruction and surface reconstruction method were used to reconstruct a 3D model of the object. At the same time, the realistic texture was extracted from some images; the 2D images were triangularized and then mapped into 3D space. Finally, the texture was added to the 3D model and a realistic exterior model was obtained. The correctness and validity of this modeling method was confirmed through practical application.
| Original language | English |
|---|---|
| Pages (from-to) | 152-156 |
| Number of pages | 5 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 41 |
| Issue number | 3 |
| State | Published - Mar 2009 |
| Externally published | Yes |
Keywords
- Feature extraction
- Feature matching
- Image-based 3D reconstruction
- Regular object
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