Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework
Autor: | John L. Barron, Wang Kay Jacky Ngai, Hagen Spies |
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Rok vydání: | 2003 |
Předmět: | |
Zdroj: | Geometry, Morphology, and Computational Imaging ISBN: 9783540009160 Theoretical Foundations of Computer Vision |
Popis: | We present a Kalman filter framework for recovering depth from the time-varying optical flow fields generated by a camera translating over a scene by a known amount. Synthetic data made from ray traced cubical, cylinderal and spherical primitives are used in the optical flow calculation and allow a quantitative error analysis of the recovered depth. |
Databáze: | OpenAIRE |
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