A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate Depth
| Autor: | John L. Barron, Baozhong Tian |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Robot vision systems Optical flow Kalman filter Image (mathematics) Motion field A priori and a posteriori Fast Kalman filter Computer vision Artificial intelligence business Algorithm Intensity (heat transfer) |
| Zdroj: | CRV |
| DOI: | 10.1109/crv.2005.11 |
| Popis: | We report on four algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate intensity derivatives or optical flow over time to increase accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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