Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework
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.
KeywordsDepth Map Depth from Optical Flow Kalman Filter 3D Camera Motion Quantitative Error Analysis
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