Local geometric consensus : a general purpose point pattern-based tracking algorithm
We present a method which can quickly and robustly match 2D and 3D point patterns based on their sole spatial distribution, but it can also handle other cues if available. This method can be easily adapted to many transformations such as similarity transformations in 2D/3D, and affine and perspectiv...
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 21(2015), 11 vom: 01. Nov., Seite 1299-308 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2015
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
| Schlagworte: | Journal Article |
| Online verfügbar |
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