Learning texton models for real-time scene context
We present a new model for scene context based on the distribution of textons within images. Our approach provides continuous, consistent scene gist throughout a video sequence and is suitable for applications in which the camera regularly views uninformative parts of the scene. We show that our mod...
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Conference item |
| Publicerad: |
2009
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