Using an image tree to assist stereo matching
| Autor: | K. Moravec, Mark Fisher, Richard P. Harvey, J.A. Bangham |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Structure (mathematical logic)
business.industry Template matching ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Window (computing) Pattern recognition Texture (music) Image (mathematics) Tree (data structure) Computer vision Artificial intelligence business Representation (mathematics) Mathematics Feature detection (computer vision) |
| Zdroj: | ICIP (1) |
| DOI: | 10.1109/icip.1999.821557 |
| Popis: | The method known as SSD, sum of squared difference, is a popular and moderately robust method for dense stereo matching, but it has several known limitations. Various refinements have been proposed, including actively changing the window shape during processing and multi-resolution analysis. We use the multi-scale tree representation of the image to generate window shapes that are well matched to image objects. We use the structure of the tree to refine our disparity search, creating a disparity tree. This tree is a close representation of the objects in the scene, and is a step towards creating a symbolic representation of objects within a scene. We find that the new method performs particularly well in regions of low texture: operating conditions that cause conventional methods to fail. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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